- 05 Apr, 2024 1 commit
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NielsRogge authored
* Add image processor to trainer * Replace tokenizer=image_processor everywhere
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- 28 Mar, 2024 1 commit
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MariaHei authored
Trainer with PyTorch now requires accelerate to be installed. Partly resolves huggingface/transformers#29174
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- 27 Mar, 2024 1 commit
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Bo Zheng authored
* add support for qwen2 MoE models * update docs * add support for qwen2 MoE models * update docs * update model name & test * update readme * update class names & readme & model_doc of Qwen2MoE. * update architecture name * fix qwen2_moe tests * use Qwen2Tokenizer instead of Qwen2MoeTokenizer * update modeling_qwen2_moe.py * fix model architecture * fix qwen2_moe tests * use Qwen2Tokenizer instead of Qwen2MoeTokenizer * update modeling_qwen2_moe.py * fix model architecture * fix style * fix test when there are sparse and non sparse layers * fixup * Update README.md Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * fixup * fixup * add archive back * add support for qwen2 MoE models * update docs * update model name & test * update readme * update class names & readme & model_doc of Qwen2MoE. * update architecture name * fix qwen2_moe tests * use Qwen2Tokenizer instead of Qwen2MoeTokenizer * update modeling_qwen2_moe.py * fix model architecture * fixup * fix qwen2_moe tests * use Qwen2Tokenizer instead of Qwen2MoeTokenizer * fix style * fix test when there are sparse and non sparse layers * fixup * add archive back * fix integration test * fixup --------- Co-authored-by:
bozheng-hit <dsoul0621@gmail.com> Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com>
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- 26 Mar, 2024 1 commit
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Merve Noyan authored
Update image_feature_extraction.md
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- 18 Mar, 2024 1 commit
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Yoach Lacombe authored
* first modeling code * make repository * still WIP * update model * add tests * add latest change * clean docstrings and copied from * update docstrings md and readme * correct chroma function * correct copied from and remove unreleated test * add doc to toctree * correct imports * add convert script to notdoctested * Add suggestion from Sanchit Co-authored-by:
Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * correct get_uncoditional_inputs docstrings * modify README according to SANCHIT feedback * add chroma to audio utils * clean librosa and torchaudio hard dependencies * fix FE * refactor audio decoder -> audio encoder for consistency with previous musicgen * refactor conditional -> encoder * modify sampling rate logics * modify license at the beginning * refactor all_self_attns->all_attentions * remove ignore copy from causallm generate * add copied from for from_sub_models * fix make copies * add warning if audio is truncated * add copied from where relevant * remove artefact * fix convert script * fix torchaudio and FE * modify chroma method according to feedback-> better naming * refactor input_values->input_features * refactor input_values->input_features and fix import fe * add input_features to docstrigs * correct inputs_embeds logics * remove dtype conversion * refactor _prepare_conditional_hidden_states_kwargs_for_generation ->_prepare_encoder_hidden_states_kwargs_for_generation * change warning for chroma length * Update src/transformers/models/musicgen_melody/convert_musicgen_melody_transformers.py Co-authored-by:
Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * change way to save wav, using soundfile * correct docs and change to soundfile * fix import * fix init proj layers * remove line breaks from md * fix issue with docstrings * add FE suggestions * improve is in logics and remove useless imports * remove custom from_pretrained * simplify docstring code * add suggestions for modeling tests * make style * update converting script with sanity check * remove encoder attention mask from conditional generation * replace musicgen melody checkpoints with official orga * rename ylacombe->facebook in checkpoints * fix copies * remove unecessary warning * add shape in code docstrings * add files to slow doc tests * fix md bug and add md to not_tested * make fix-copies * fix hidden states test and batching --------- Co-authored-by:
Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
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- 15 Mar, 2024 1 commit
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Saurabh Dash authored
* Cohere Model Release (#1) Cohere Model Release * Remove unnecessary files and code (#2) Some cleanup * Delete cohere-model directory (#3) * Make Fix (#5) * Pr fixes (#6) * fixes for pr * pr fixes for the format * pr fixes for the format * src/transformers/models/auto/tokenization_auto.py * Tokenizer test (#8) * tokenizer test * format fix * Adding Docs and other minor changes (#7) * Add modeling tests (#9) * Smol Fix (#11) * tokenization tests are fixed * format fixes * fix pr doc tests * fix pr doc tests * fix pr doc tests * fix pr style check * small changes in cohere.md * FIX: Address final comments for transformers integration (#13) * fix modeling final nits and add proper test file * for now leave empty tests * add integration test * push new test * fix modeling cohere (#14) * Update chat templates to use the new API (#15) --------- Co-authored-by:
ahmetustun <ahmetustun89@gmail.com> Co-authored-by:
Younes Belkada <49240599+younesbelkada@users.noreply.github.com> Co-authored-by:
Matt <Rocketknight1@users.noreply.github.com>
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- 13 Mar, 2024 1 commit
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Nate Cibik authored
* Added pytests for pvt-v2, all passed * Added pvt_v2 to docs/source/end/model_doc * Ran fix-copies and fixup. All checks passed * Added additional ReLU for linear attention mode * pvt_v2_b2_linear converted and working * copied models/pvt to adapt to pvt_v2 * First commit of pvt_v2 * PvT-v2 now works in AutoModel * Reverted batch eval changes for PR * Expanded type support for Pvt-v2 config * Fixed config docstring. Added channels property * Fixed model names in tests * Fixed config backbone compat. Added additional type support for image size in config * Fixed config backbone compat * Allowed for batching of eval metrics * copied models/pvt to adapt to pvt_v2 * First commit of pvt_v2 * Set key and value layers to use separate linear modules. Fixed pruning function * Set AvgPool to 7 * Fixed issue in init * PvT-v2 now works in AutoModel * Successful conversion of pretrained weights for PVT-v2 * Successful conversion of pretrained weights for PVT-v2 models * Added pytests for pvt-v2, all passed * Ran fix-copies and fixup. All checks passed * Added additional ReLU for linear attention mode * pvt_v2_b2_linear converted and working * Allowed for batching of eval metrics * copied models/pvt to adapt to pvt_v2 * First commit of pvt_v2 * Set key and value layers to use separate linear modules. Fixed pruning function * Set AvgPool to 7 * Fixed issue in init * PvT-v2 now works in AutoModel * Successful conversion of pretrained weights for PVT-v2 * Successful conversion of pretrained weights for PVT-v2 models * Added pytests for pvt-v2, all passed * Ran fix-copies and fixup. All checks passed * Added additional ReLU for linear attention mode * pvt_v2_b2_linear converted and working * Reverted batch eval changes for PR * Updated index.md * Expanded type support for Pvt-v2 config * Fixed config docstring. Added channels property * Fixed model names in tests * Fixed config backbone compat * Ran fix-copies * Fixed PvtV2Backbone tests * Added TFRegNet to OBJECTS_TO_IGNORE in check_docstrings.py * Fixed backbone stuff and fixed tests: all passing * Ran make fixup * Made modifications for code checks * Remove ONNX config from configuration_pvt_v2.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Use explicit image size dict in test_modeling_pvt_v2.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Make image_size optional in test_modeling_pvt_v2.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Remove _ntuple use in modeling_pvt_v2.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Remove reference to fp16_enabled * Model modules now take config as first argument even when not used * Replaced abbreviations for "SR" and "AP" with explicit "spatialreduction" and "averagepooling" * All LayerNorm now instantiates with config.layer_norm_eps * Added docstring for depth-wise conv layer * PvtV2Config now only takes Union[int, Tuple[int, int]] for image size * Refactored PVTv2 in prep for gradient checkpointing * Gradient checkpointing ready to test * Removed override of _set_gradient_checkpointing * Cleaned out old code * Applied code fixup * Applied code fixup * Began debug of pvt_v2 tests * Leave handling of num_labels to base pretrained config class * Deactivated gradient checkpointing tests until it is fixed * Removed PvtV2ImageProcessor which duped PvtImageProcessor * Allowed for batching of eval metrics * copied models/pvt to adapt to pvt_v2 * First commit of pvt_v2 * Set key and value layers to use separate linear modules. Fixed pruning function * Set AvgPool to 7 * Fixed issue in init * PvT-v2 now works in AutoModel * Successful conversion of pretrained weights for PVT-v2 * Successful conversion of pretrained weights for PVT-v2 models * Added pytests for pvt-v2, all passed * Added pvt_v2 to docs/source/end/model_doc * Ran fix-copies and fixup. All checks passed * Added additional ReLU for linear attention mode * pvt_v2_b2_linear converted and working * copied models/pvt to adapt to pvt_v2 * First commit of pvt_v2 * PvT-v2 now works in AutoModel * Reverted batch eval changes for PR * Expanded type support for Pvt-v2 config * Fixed config docstring. Added channels property * Fixed model names in tests * Fixed config backbone compat. Added additional type support for image size in config * Fixed config backbone compat * Allowed for batching of eval metrics * copied models/pvt to adapt to pvt_v2 * First commit of pvt_v2 * Set key and value layers to use separate linear modules. Fixed pruning function * Set AvgPool to 7 * Fixed issue in init * PvT-v2 now works in AutoModel * Successful conversion of pretrained weights for PVT-v2 * Successful conversion of pretrained weights for PVT-v2 models * Added pytests for pvt-v2, all passed * Ran fix-copies and fixup. All checks passed * Added additional ReLU for linear attention mode * pvt_v2_b2_linear converted and working * Allowed for batching of eval metrics * copied models/pvt to adapt to pvt_v2 * First commit of pvt_v2 * Set key and value layers to use separate linear modules. Fixed pruning function * Set AvgPool to 7 * Fixed issue in init * PvT-v2 now works in AutoModel * Successful conversion of pretrained weights for PVT-v2 * Successful conversion of pretrained weights for PVT-v2 models * Added pytests for pvt-v2, all passed * Ran fix-copies and fixup. All checks passed * Added additional ReLU for linear attention mode * pvt_v2_b2_linear converted and working * Reverted batch eval changes for PR * Expanded type support for Pvt-v2 config * Fixed config docstring. Added channels property * Fixed model names in tests * Fixed config backbone compat * Ran fix-copies * Fixed PvtV2Backbone tests * Added TFRegNet to OBJECTS_TO_IGNORE in check_docstrings.py * Fixed backbone stuff and fixed tests: all passing * Ran make fixup * Made modifications for code checks * Remove ONNX config from configuration_pvt_v2.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Use explicit image size dict in test_modeling_pvt_v2.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Make image_size optional in test_modeling_pvt_v2.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Remove _ntuple use in modeling_pvt_v2.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Remove reference to fp16_enabled * Model modules now take config as first argument even when not used * Replaced abbreviations for "SR" and "AP" with explicit "spatialreduction" and "averagepooling" * All LayerNorm now instantiates with config.layer_norm_eps * Added docstring for depth-wise conv layer * PvtV2Config now only takes Union[int, Tuple[int, int]] for image size * Refactored PVTv2 in prep for gradient checkpointing * Gradient checkpointing ready to test * Removed override of _set_gradient_checkpointing * Cleaned out old code * Applied code fixup * Applied code fixup * Allowed for batching of eval metrics * copied models/pvt to adapt to pvt_v2 * First commit of pvt_v2 * PvT-v2 now works in AutoModel * Ran fix-copies and fixup. All checks passed * copied models/pvt to adapt to pvt_v2 * First commit of pvt_v2 * PvT-v2 now works in AutoModel * Reverted batch eval changes for PR * Fixed config docstring. Added channels property * Fixed config backbone compat * Allowed for batching of eval metrics * copied models/pvt to adapt to pvt_v2 * First commit of pvt_v2 * PvT-v2 now works in AutoModel * Ran fix-copies and fixup. All checks passed * Allowed for batching of eval metrics * copied models/pvt to adapt to pvt_v2 * First commit of pvt_v2 * PvT-v2 now works in AutoModel * Fixed config backbone compat * Ran fix-copies * Began debug of pvt_v2 tests * Leave handling of num_labels to base pretrained config class * Deactivated gradient checkpointing tests until it is fixed * Removed PvtV2ImageProcessor which duped PvtImageProcessor * Fixed issue from rebase * Fixed issue from rebase * Set tests for gradient checkpointing to skip those using reentrant since it isn't supported * Fixed issue from rebase * Fixed issue from rebase * Changed model name in docs * Removed duplicate PvtV2Backbone * Work around type switching issue in tests * Fix model name in config comments * Update docs/source/en/model_doc/pvt_v2.md Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * Changed name of variable from 'attn_reduce' to 'sr_type' * Changed name of variable from 'attn_reduce' to 'sr_type' * Changed from using 'sr_type' to 'linear_attention' for clarity * Update src/transformers/models/pvt_v2/modeling_pvt_v2.py Removed old code * Changed from using 'sr_type' to 'linear_attention' for clarity * Fixed Class names to be more descriptive * Update src/transformers/models/pvt_v2/modeling_pvt_v2.py Removed outdated code * Moved paper abstract to single line in pvt_v2.md * Added usage tips to pvt_v2.md * Simplified module inits by passing layer_idx * Fixed typing for hidden_act in PvtV2Config * Removed unusued import * Add pvt_v2 to docs/source/en/_toctree.yml * Updated documentation in docs/source/en/model_doc/pvt_v2.md to be more comprehensive. * Updated documentation in docs/source/en/model_doc/pvt_v2.md to be more comprehensive. * Update src/transformers/models/pvt_v2/modeling_pvt_v2.py Move function parameters to single line Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/pvt_v2/modeling_pvt_v2.py Update year of copyright to 2024 Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/pvt_v2/modeling_pvt_v2.py Make code more explicit Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Updated sr_ratio to be more explicit spatial_reduction_ratio * Removed excess type hints in modeling_pvt_v2.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Move params to single line in modeling_pvt_v2.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Removed needless comment in modeling_pvt_v2.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update copyright date in pvt_v2.md Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Moved params to single line in modeling_pvt_v2.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Updated copyright date in configuration_pvt_v2.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Cleaned comments in modeling_pvt_v2.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Renamed spatial_reduction Conv2D operation * Revert "Update src/transformers/models/pvt_v2/modeling_pvt_v2.py " This reverts commit c4a04416dde8f3475ab405d1feb368600e0f8538. * Updated conversion script to reflect module name change * Deprecated reshape_last_stage option in config * Removed unused imports * Code formatting * Fixed outdated decorators on test_inference_fp16 * Added "Copied from" comments in test_modeling_pvt_v2.py * Fixed import listing * Updated model name * Force empty commit for PR refresh * Fixed linting issue * Removed # Copied from comments * Added PVTv2 to README_fr.md * Ran make fix-copies * Replace all FoamoftheSea hub references with OpenGVLab * Fixed out_indices and out_features logic in configuration_pvt_v2.py * Made ImageNet weight conversion verification optional in convert_pvt_v2_to_pytorch.py * Ran code fixup * Fixed order of parent classes in PvtV2Config to fix the to_dict method override --------- Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com>
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- 05 Mar, 2024 1 commit
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Arthur authored
* initial-commit * start cleaning * small nits * small nits * current updates * add kernels * small refactoring little step * add comments * styling * nit * nits * Style * Small changes * Push dummy mambda simple slow * nit * Use original names * Use original names and remove norm * Updates for inference params * Style nd updates * nits * Match logits * Add a test * Add expected generated text * nits doc, imports and styling * style * oups * dont install kernels, invite users to install the required kernels * let use use the original packages * styling * nits * fix some copieds * update doc * fix-copies * styling done * nits * fix import check * run but wrong cuda ress * mamba CUDA works :) * fix the fast path * config naming nits * conversion script is not required at this stage * finish fixing the fast path: generation make sense now! * nit * Let's start working on the CIs * style * better style * more nits * test nit * quick fix for now * nits * nit * nit * nit * nits * update test rest * fixup * update test * nit * some fixes * nits * update test values * fix styling * nit * support peft * integrations tests require torchg * also add slow markers * styling * chose forward wisely * nits * update tests * fix gradient checkpointing * fixup * nit * fix doc * check copies * fix the docstring * fix some more tests * style * fix beam search * add init schene * update * nit * fix * fixup the doc * fix the doc * fixup * tentative update but slow is no longer good * nit * should we always use float32? * nits * revert wrong changes * res in float32 * cleanup * skip fmt for now * update generation values * update test values running original model * fixup * update tests + rename inference_params to cache_params + make sure training does not use cache_params * small nits * more nits * fix final CIs * style * nit doc * I hope final doc nits * nit * 馃珷 * final touch! * fix torch import * Apply suggestions from code review Co-authored-by:
Lysandre Debut <hi@lysand.re> * Apply suggestions from code review * fix fix and fix * fix base model prefix! * nit * Update src/transformers/models/mamba/__init__.py * Update docs/source/en/model_doc/mamba.md Co-authored-by:
Lysandre Debut <hi@lysand.re> * nit --------- Co-authored-by:
Lysandre Debut <hi@lysand.re>
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- 28 Feb, 2024 1 commit
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RaymondLi0 authored
* Copy model * changes * misc * fixes * add embed and residual dropout (#30) * misc * remove rms norm and gated MLP * remove copied mentions where its not a copy anymore * remove unused _shape * copied from mistral instead * fix copies * fix copies * add not doctested * fix * fix copyright * Update docs/source/en/model_doc/starcoder2.md Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/starcoder2/configuration_starcoder2.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/starcoder2/configuration_starcoder2.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * fix doc * revert some changes * add fa2 tests * fix styling nit * fix * push dummy docs --------- Co-authored-by:
Joel Lamy-Poirier <joel.lamy-poirier@servicenow.com> Co-authored-by:
younesbelkada <younesbelkada@gmail.com> Co-authored-by:
Younes Belkada <49240599+younesbelkada@users.noreply.github.com> Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com>
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- 27 Feb, 2024 1 commit
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Merve Noyan authored
* Image Feature Extraction docs * Update docs/source/en/tasks/image_feature_extraction.md Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update image_feature_extraction.md * Update docs/source/en/tasks/image_feature_extraction.md Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update docs/source/en/tasks/image_feature_extraction.md Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Address comments * Update docs/source/en/tasks/image_feature_extraction.md Co-authored-by:
Maria Khalusova <kafooster@gmail.com> * Update docs/source/en/tasks/image_feature_extraction.md Co-authored-by:
Maria Khalusova <kafooster@gmail.com> * Update docs/source/en/tasks/image_feature_extraction.md Co-authored-by:
Maria Khalusova <kafooster@gmail.com> * Update docs/source/en/tasks/image_feature_extraction.md Co-authored-by:
Maria Khalusova <kafooster@gmail.com> * Update docs/source/en/tasks/image_feature_extraction.md Co-authored-by:
Maria Khalusova <kafooster@gmail.com> * Update docs/source/en/tasks/image_feature_extraction.md Co-authored-by:
Maria Khalusova <kafooster@gmail.com> * Update docs/source/en/tasks/image_feature_extraction.md Co-authored-by:
Maria Khalusova <kafooster@gmail.com> * Update docs/source/en/tasks/image_feature_extraction.md Co-authored-by:
Maria Khalusova <kafooster@gmail.com> * Update image_feature_extraction.md * Update image_feature_extraction.md Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> --------- Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> Co-authored-by:
Maria Khalusova <kafooster@gmail.com>
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- 21 Feb, 2024 1 commit
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Arthur authored
* inital commit * update * update conversion checkpoint * update conversion script * nits * some fixes * nits * merge * fix permute * nits * fix * nits * nits * nits * fix rope * fix both rope * nites * style * make sure flax works * fix flax init code * fix foward * nits * print flax generation out * current code * nits * SIIIIIIIIIIIIIIIIIII * update * add new tokenizer * correct fast tokenizer * fix conversion * more comments * fix modeling and conversion * nits and nits * nits testing * add some tokenization tests * add some edge cases * add slow tests and fix them * fixup * fix copies for modeling * fix copies * add 7B slow tests * fix * fix * fix tests * make tokenizer cis go green * styling * last tokenizer nits * update jax tests * fix flax for 7b * add jit testing
馃 * cleanups * isolated nit, inv_freq for rotary_emb.inv_freq * propagate to jax * Apply suggestions from code review Co-authored-by:Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * adjust test * fix conversion script * change name * correct file names * update conversion script * Fix bos and eos token ids in the model configuration (#3) * update modelling * update conversion script * add static cache for gemma * fix sdpa generate * fix batched * multiple fixes * fix FA2 * final fix * Rename a few missing strings and filenames (#4) * merge with upstream main * fix copies * fix copies * fix fixup * fix fixup * fix * fix * final tests * fix fx gemma tests * fix fx bf16/fp16 tests * update slow fx tests * fx slow tests: one logits, one generation * move jit test standalone * Apply suggestions from code review * nits * tokenizer updates * more tokenization updates: custom GemmaSentencepieceExtrator * style * Update src/transformers/cache_utils.py * Update src/transformers/models/gemma/__init__.py * Update tests/models/gemma/test_modeling_flax_gemma.py * small nits * style * update tokenization test * fix the rotary embedding * with style * fix slow tests * WARNING this commit might be very important for precisions * Update tests/models/gemma/test_modeling_flax_gemma.py * Update src/transformers/models/gemma/configuration_gemma.py Co-authored-by:
Lysandre Debut <hi@lysand.re> * Update src/transformers/models/gemma/modeling_flax_gemma.py Co-authored-by:
Lysandre Debut <hi@lysand.re> * small nits here and there! * forgotten nit * remove on the fly computation of inv_freq * revert previous change, let's be safe and for now re-compute freq cis to make sure it's in float * Apply suggestions from code review Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> * Update src/transformers/models/gemma/convert_gemma_weights_to_hf.py Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> * Update src/transformers/models/gemma/convert_gemma_weights_to_hf.py Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> * Update tests/models/gemma/test_modeling_gemma.py Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> * Update tests/models/gemma/test_modeling_gemma.py Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> * Update tests/models/gemma/test_modeling_gemma.py Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> * Update tests/models/gemma/test_modeling_flax_gemma.py Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> * Update tests/models/gemma/test_modeling_gemma.py Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> * Update tests/models/gemma/test_modeling_gemma.py Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> * Update tests/models/gemma/test_tokenization_gemma.py Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> * Update tests/models/gemma/test_tokenization_gemma.py Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> * Update tests/models/gemma/test_tokenization_gemma.py Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> * Update tests/models/gemma/test_tokenization_gemma.py Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> * Update tests/models/gemma/test_modeling_gemma.py Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> * Update tests/models/gemma/test_modeling_gemma.py Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> * Update tests/models/gemma/test_modeling_gemma.py Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> * Update tests/models/gemma/test_modeling_gemma.py Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> * Update tests/models/gemma/test_modeling_gemma.py Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> * nit conversion script link * fix some tests * add not doctest and pr doctest * repo consistency * fix last CIs
馃殌 * update all readmes --------- Co-authored-by:younesbelkada <younesbelkada@gmail.com> Co-authored-by:
Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> Co-authored-by:
Younes Belkada <49240599+younesbelkada@users.noreply.github.com> Co-authored-by:
sanchit-gandhi <sanchit@huggingface.co> Co-authored-by:
Lysandre Debut <hi@lysand.re>
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- 19 Feb, 2024 1 commit
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Winton Davies authored
The link in evaluation was missing a hyphen between post and processing. I fixed this, for English only. Someone with the ability to do a global search/replace should fix the other languages (if indeed they have this issue)/
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- 16 Feb, 2024 1 commit
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Lysandre Debut authored
* Script & Manual edition * Update
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- 14 Feb, 2024 3 commits
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Merve Noyan authored
* Create mask_generation.md * add h1 * add to toctree * Update docs/source/en/tasks/mask_generation.md Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update docs/source/en/tasks/mask_generation.md Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update docs/source/en/tasks/mask_generation.md Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update docs/source/en/tasks/mask_generation.md Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update docs/source/en/tasks/mask_generation.md Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update mask_generation.md * Update docs/source/en/tasks/mask_generation.md Co-authored-by:
Maria Khalusova <kafooster@gmail.com> * Update docs/source/en/tasks/mask_generation.md Co-authored-by:
Maria Khalusova <kafooster@gmail.com> * Update docs/source/en/tasks/mask_generation.md Co-authored-by:
Maria Khalusova <kafooster@gmail.com> * Update docs/source/en/tasks/mask_generation.md Co-authored-by:
Maria Khalusova <kafooster@gmail.com> * Update docs/source/en/tasks/mask_generation.md Co-authored-by:
Maria Khalusova <kafooster@gmail.com> * Update docs/source/en/tasks/mask_generation.md Co-authored-by:
Maria Khalusova <kafooster@gmail.com> * Update docs/source/en/tasks/mask_generation.md Co-authored-by:
Maria Khalusova <kafooster@gmail.com> * Update docs/source/en/tasks/mask_generation.md Co-authored-by:
Maria Khalusova <kafooster@gmail.com> * Update docs/source/en/tasks/mask_generation.md Co-authored-by:
Maria Khalusova <kafooster@gmail.com> * Update docs/source/en/tasks/mask_generation.md Co-authored-by:
Maria Khalusova <kafooster@gmail.com> * Update mask_generation.md * Update docs/source/en/tasks/mask_generation.md Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update docs/source/en/tasks/mask_generation.md Co-authored-by:
Klaus Hipp <khipp@users.noreply.github.com> * Update docs/source/en/tasks/mask_generation.md Co-authored-by:
Klaus Hipp <khipp@users.noreply.github.com> * Update docs/source/en/tasks/mask_generation.md Co-authored-by:
Klaus Hipp <khipp@users.noreply.github.com> * Update docs/source/en/tasks/mask_generation.md Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update docs/source/en/tasks/mask_generation.md * Update mask_generation.md * Update mask_generation.md --------- Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by:
Maria Khalusova <kafooster@gmail.com> Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> Co-authored-by:
Klaus Hipp <khipp@users.noreply.github.com>
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NielsRogge authored
* First draft * Add CLIPForImageClassification * Remove scripts * Fix doctests
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Jonathan Tow authored
* Add `StableLM` * fix(model): re-create from `huggingface-cli add-new-model-like persimmon` * fix: re-add changes to address comments * fix(readme): add links to paper * fix(tokenization_auto): remove `GPTNeoXTokenizerFastFast` ref * fix(tests): re-add `@slow` decorator to integration tests * fix(tests): import slow... * fix(readme_hd): remove whitespace edit * fix(tokenizer): auto tokenizer tuple * skip doctests for `modeling_stablelm`
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- 12 Feb, 2024 2 commits
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Klaus Hipp authored
Add language identifiers to code blocks
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NielsRogge authored
* Update README and docs * Update README * Update README
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- 08 Feb, 2024 1 commit
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Klaus Hipp authored
* Fix model documentation links in attention.md * Fix external link syntax * Fix target anchor names of section links * Fix copyright statement comments * Fix documentation headings
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- 06 Feb, 2024 2 commits
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Klaus Hipp authored
Fix backticks in code blocks and documentation links
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nakranivaibhav authored
* This is a test commit * testing commit * final commit with some changes * Removed copy statement * Fixed formatting issues * Fixed error added past_key_values in the forward method * Fixed a trailing whitespace. Damn the formatting rules are strict * Added the copy statement
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- 02 Feb, 2024 1 commit
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Klaus Hipp authored
* Fix typos and grammar mistakes in docs and examples * Fix typos in docstrings and comments * Fix spelling of `tokenizer` in model tests * Remove erroneous spaces in decorators * Remove extra spaces in Markdown link texts
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- 01 Feb, 2024 1 commit
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JB (Don) authored
* Adding [T5/MT5/UMT5]ForTokenClassification * Add auto mappings for T5ForTokenClassification and variants * Adding ForTokenClassification to the list of models * Adding attention_mask param to the T5ForTokenClassification test * Remove outdated comment in test * Adding EncoderOnly and Token Classification tests for MT5 and UMT5 * Fix typo in umt5 string * Add tests for all the existing MT5 models * Fix wrong comment in dependency_versions_table * Reverting change to common test for _keys_to_ignore_on_load_missing The test is correctly picking up redundant keys in _keys_to_ignore_on_load_missing. * Removing _keys_to_ignore_on_missing from MT5 since the key is not used in the model * Add fix-copies to MT5ModelTest
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- 26 Jan, 2024 1 commit
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Steven Liu authored
* change datasets * fix
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- 25 Jan, 2024 2 commits
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Yusuf authored
fix typo: from: "model = TFAutoModelForQuestionAnswering("distilbert-base-uncased")" to: model = TFAutoModelForQuestionAnswering.from_pretrained("distilbert-base-uncased") -
NielsRogge authored
* First draft * More improvements * More improvements * More improvements * More improvements * Add docs * Remove file * Add copied from * Address comments * Address comments * Address comments * Fix style * Update docs * Convert all checkpoints, add integration test * Rename checkpoints * Add pretrained backbone attributes * Fix default config * Address comment * Add figure to docs * Fix bug thanks to @xenova * Update conversion script * Fix integration test
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- 18 Jan, 2024 1 commit
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Yoach Lacombe authored
* first commit * correct default value non causal * update config and modeling code * update converting checkpoint * clean modeling and fix tests * make style * add new config parameters to docstring * fix copied from statements * Apply suggestions from code review Co-authored-by:
Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * make position_embeddings_type docstrings clearer * clean converting script * remove function not used * clean modeling file * apply suggestion for test file + add convert script to not_doctested * modify tests according to review - cleaner logic and more tests * Apply nit suggestions from code review Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * add checker of valid position embeddings type * instantiate new layer norm layer with the right eps * fix freeze_feature_encoder since it can be None in some cases * add test same output in convert script * restore wav2vec2conformer and add new model * create processor and FE + clean * add new model code * fix convert script and set default config parameters * correct model id paths * make style * make fix-copies and cleaning files * fix copied from statements * complete .md and fixe copies * clean convert script argument defaults * fix config parameters docstrings * fix config docstring * add copied from and enrich FE tests * fix copied from and repo-consistency * add autotokenizer * make test input length shorter and change docstring code * fix docstrings and copied from * add add_adapter to ASR training example * make testing of adapters more robust * adapt to multi adapter layers * refactor input_values->input_features and remove w2v2-bert feature extractor * remove pretraining model * remove depreciated features and useless lines * add copied from and ignore statements to modeling tests * remove pretraining model #2 * change import in convert script * change default in convert script * update readme and remove useless line * Update tests/models/wav2vec2_bert/test_processor_wav2vec2_bert.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * refactor BERT to Bert for consistency * remove useless ignore copy statement * add persistent to buffer in rotary * add eps in LayerNorm init and remove copied from * add adapter activation parameters and add copied from statements * Fix copied statements and add unitest.skip reasons * add copied statement in test_processor * refactor processor * make style * replace numpy random by torch rand * remove expected output CTC * improve converting script with processor class * Apply suggestions from code review Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * remove gumbel class * remove tests related to previously deleted class * Update src/transformers/models/wav2vec2_bert/configuration_wav2vec2_bert.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * correct typos * remove uused parameters * update processor to takes both text and audio * update checkpoints * update expected output and add ctc expected output * add label_attention_mask * replace pt with np in processor tests * fix typo * revert to behaviour with labels_attention_mask --------- Co-authored-by:
Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com>
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- 17 Jan, 2024 1 commit
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Junyang Lin authored
* add config, modeling, and tokenization * add auto and init * update readme * update readme * update team name * fixup * fixup * update config * update code style * update for fixup * update for fixup * update for fixup * update for testing * update for testing * fix bug for config and tokenization * fix bug for bos token * not doctest * debug tokenizer * not doctest * debug tokenization * debug init for tokenizer * fix style * update init * delete if in token auto * add tokenizer doc * add tokenizer in init * Update dummy_tokenizers_objects.py * update * update * debug * Update tokenization_qwen2.py * debug * Update convert_slow_tokenizer.py * add copies * add copied from and make style * update files map * update test * fix style * fix merge reading and update tests * fix tests * fix tests * fix style * debug a variable in readme * Update src/transformers/models/qwen2/configuration_qwen2.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * update test and copied from * fix style * update qwen2 tokenization and tests * Update tokenization_qwen2.py * delete the copied from after property * fix style * update tests * update tests * add copied from * fix bugs * update doc * add warning for sliding window attention * update qwen2 tokenization * fix style * Update src/transformers/models/qwen2/modeling_qwen2.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * fix tokenizer fast --------- Co-authored-by:
Ren Xuancheng <jklj077@users.noreply.github.com> Co-authored-by:
renxuancheng.rxc <renxuancheng.rxc@alibaba-inc.com> Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com>
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- 03 Jan, 2024 2 commits
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Connor Henderson authored
* start - docs, SpeechT5 copy and rename * add relevant code from FastSpeech2 draft, have tests pass * make it an actual conformer, demo ex. * matching inference with original repo, includes debug code * refactor nn.Sequentials, start more desc. var names * more renaming * more renaming * vocoder scratchwork * matching vocoder outputs * hifigan vocoder conversion script * convert model script, rename some config vars * replace postnet with speecht5's implementation * passing common tests, file cleanup * expand testing, add output hidden states and attention * tokenizer + passing tokenizer tests * variety of updates and tests * g2p_en pckg setup * import structure edits * docstrings and cleanup * repo consistency * deps * small cleanup * forward signature param order * address comments except for masks and labels * address comments on attention_mask and labels * address second round of comments * remove old unneeded line * address comments part 1 * address comments pt 2 * rename auto mapping * fixes for failing tests * address comments part 3 (bart-like, train loss) * make style * pass config where possible * add forward method + tests to WithHifiGan model * make style * address arg passing and generate_speech comments * address Arthur comments * address Arthur comments pt2 * lint changes * Sanchit comment * add g2p-en to doctest deps * move up self.encoder * onnx compatible tensor method * fix is symbolic * fix paper url * move models to espnet org * make style * make fix-copies * update docstring * Arthur comments * update docstring w/ new updates * add model architecture images * header size * md wording update * make style
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lain authored
remove broken space
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- 22 Dec, 2023 1 commit
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Anindyadeep authored
* fix: minor enhancement and fix in bounding box visualization example The example that was trying to visualize the bounding box was not considering an edge case, where the bounding box can be un-normalized. So using the same set of code, we can not get results with a different dataset with un-normalized bounding box. This commit fixes that. * run make clean * add an additional note on the scenarios where the box viz code works --------- Co-authored-by:Anindyadeep <anindya@pop-os.localdomain>
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- 18 Dec, 2023 1 commit
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Rockerz authored
Update semantic_segmentation.md
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- 11 Dec, 2023 3 commits
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Anthony Susevski authored
* fixed typos (issue 27919) * Update docs/source/en/tasks/knowledge_distillation_for_image_classification.md Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> --------- Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com>
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NielsRogge authored
Update formats
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Arthur authored
* up * up * test * logits ok * up * up * few fixes * conversion script * up * nits * nits * update * nuke * more updates * nites * fix many issues * nit * scatter * nit * nuke megablocks * nits * fix conversion script * nit * remove * nits * nit * update * oupsssss * change * nits device * nits * fixup * update * merge * add copied from * fix the copy mentions * update tests * more fixes * nits * conversion script * add parts of the readme * Update tests/models/mixtral/test_modeling_mixtral.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * new test + conversion script * Apply suggestions from code review Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * Apply suggestions from code review * fix * fix copies * fix copies * ooops * fix config * Apply suggestions from code review * fix nits * nit * add copies * add batched tests * docs * fix flash attention * let's add more verbose * add correct outputs * support router ouptus * ignore copies where needed * fix * cat list if list is given for now * nits * Update docs/source/en/model_doc/mixtral.md * finish router refactoring * fix forward * fix expected values * nits * fixup * fix * fix bug * fix * fix dtype mismatch * fix * grrr grrr I support item assignment * fix CI * docs * fixup * remove some copied form * fix weird diff * skip doctest fast on the config and modeling * mark that is supports flash attention in the doc * update * Update src/transformers/models/mixtral/modeling_mixtral.py Co-authored-by:
Lysandre Debut <hi@lysand.re> * Update docs/source/en/model_doc/mixtral.md Co-authored-by:
Lysandre Debut <hi@lysand.re> * revert router logits config issue * update doc accordingly * Update src/transformers/models/mixtral/convert_mixtral_weights_to_hf.py * nits * use torch testing asssert close * fixup * doc nits --------- Co-authored-by:
younesbelkada <younesbelkada@gmail.com> Co-authored-by:
Younes Belkada <49240599+younesbelkada@users.noreply.github.com> Co-authored-by:
Lysandre Debut <hi@lysand.re>
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- 07 Dec, 2023 1 commit
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Steven Liu authored
* custom dataset * fix link * feedback
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- 04 Dec, 2023 1 commit
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Rockerz authored
* Create asr.md * Create audio_classification.md * Create document_question_answering.md * Update document_question_answering.md * add * add * ggg * gg * add masked_language_modeling.md * add monocular_depth estimation * new * dd * add * add * cl * add * Add Traslation.md * hgf * Added docs to Toctree file * Update docs/source/ja/tasks/asr.md Co-authored-by:
Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/ja/tasks/asr.md Co-authored-by:
Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/ja/tasks/image_classification.md Co-authored-by:
Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/ja/tasks/idefics.md Co-authored-by:
Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/ja/tasks/image_captioning.md Co-authored-by:
Steven Liu <59462357+stevhliu@users.noreply.github.com> * Fix docs and revert changes * Update docs/source/en/tasks/idefics.md Co-authored-by:
Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/ja/tasks/language_modeling.md Co-authored-by:
Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/ja/tasks/language_modeling.md Co-authored-by:
Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/ja/tasks/language_modeling.md Co-authored-by:
Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/ja/tasks/prompting.md Co-authored-by:
Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/ja/tasks/masked_language_modeling.md Co-authored-by:
Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/ja/tasks/masked_language_modeling.md Co-authored-by:
Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/ja/tasks/prompting.md Co-authored-by:
Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/ja/tasks/object_detection.md Co-authored-by:
Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/ja/tasks/semantic_segmentation.md Co-authored-by:
Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/ja/tasks/semantic_segmentation.md Co-authored-by:
Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/ja/tasks/token_classification.md Co-authored-by:
Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/ja/tasks/translation.md Co-authored-by:
Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/ja/tasks/visual_question_answering.md Co-authored-by:
Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/ja/tasks/summarization.md Co-authored-by:
Steven Liu <59462357+stevhliu@users.noreply.github.com> * changes in review 1 and 2 * add * Update docs/source/ja/tasks/asr.md Co-authored-by:
Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/ja/tasks/translation.md Co-authored-by:
Steven Liu <59462357+stevhliu@users.noreply.github.com> * changes * Update docs/source/ja/_toctree.yml Co-authored-by:
Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/ja/_toctree.yml Co-authored-by:
Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/ja/_toctree.yml Co-authored-by:
Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update _toctree.yml --------- Co-authored-by:
Steven Liu <59462357+stevhliu@users.noreply.github.com>
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- 30 Nov, 2023 1 commit
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Yoach Lacombe authored
* add working convertion script * first non-working version of modeling code * update modeling code (working) * make style * make fix-copies * add config docstrings * add config to ignore docstrings formatage due to unconventional markdown * fix copies * fix generation num_return_sequences * enrich docs * add and fix tests beside integration tests * update integration tests * update repo id * add tie weights and make style * correct naming in .md * fix imports and so on * correct docstrings * fix fp16 speech forward * fix speechencoder attention * make style * fix copied from * rename SeamlessM4Tv2-v2 to SeamlessM4Tv2 * Apply suggestions on configuration Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * remove useless public models * fix private models + better naming for T2U models * clean speech encoder relative position embeddings * refactor chunk attention * add docstrings to chunk attention method * improve naming and docstrings * rename some attention variables + add temperature sampling in T2U model * rename DOCSTRINGS variable names * make style + remove 2 useless config parameters * enrich model card * remove any attention_head reference + fix temperature in T2U * new fmt and make style * Apply suggestions from code review Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * rename spkr_id->speaker_id and change docstrings of get_char_input_ids * simplify v2attention * make style * Update seamless_m4t_v2.md * update code and tests with last update * update repo ids * fill article name, abstract andauthors * update not_doctested and slow_doc tests --------- Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com>
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- 24 Nov, 2023 1 commit
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fxmarty authored
* reflect RoCm support in the documentation * Update docs/source/en/main_classes/trainer.md Co-authored-by:
Lysandre Debut <hi@lysand.re> * fix review comments * use ROCm instead of RoCm --------- Co-authored-by:
Lysandre Debut <hi@lysand.re>
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- 23 Nov, 2023 1 commit
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Merve Noyan authored
* Extended semantic segmentation * Update image_segmentation.md * Changed title * Update docs/source/en/tasks/semantic_segmentation.md Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> * Update docs/source/en/tasks/semantic_segmentation.md Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> * Update docs/source/en/tasks/semantic_segmentation.md Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> * Update docs/source/en/tasks/semantic_segmentation.md Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> * Update docs/source/en/tasks/semantic_segmentation.md Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> * Update semantic_segmentation.md * Update docs/source/en/tasks/semantic_segmentation.md Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update docs/source/en/tasks/semantic_segmentation.md Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Addressed Niels' and Maria's comments * Added detail on panoptic segmentation * Added redirection and renamed the file * Update _toctree.yml * Update _redirects.yml * Rename image_segmentation.md to semantic_segmentation.md --------- Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com>
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