- 17 Jul, 2024 1 commit
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Raushan Turganbay authored
* Chameleon model integration Co-authored-by:
Jacob Kahn <jacobkahn1@gmail.com> Co-authored-by:
Leonid Shamis <leonid.shamis@gmail.com> * fix 7B, again. mask away image tokens * Apply suggestions from code review Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * remove pretrained_config_map * make fixup passing up to utils/check_config_docstrings.py; vqgan moved to the modeling file * remove tokenizer (use llama's); remove codechameleon tests * a few copied from statements and minor changes * copied from in ChameleonModel * some copies in ChameleonForCausalLM * a few more copies * VQModel moved to ChameleonModel (as opposed to being in the processor) * ChameleonProcessor ready * Fix chameleon weights convert * update conversion script * clean-up processing * update modeling a bit * update * update (throws error...) * correct conversion ready * fix tests * fix docs * docs * ve swin norm * fix device for vocab map * add normalization * update * update script with rope rotations * final fix on model conversion * add slow tests * more info in docs * fix repo consistency tests * fix repo tests * fix-copies * hope this will make CI happy * fix for 30b model * Update docs/source/en/index.md Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update docs/source/en/model_doc/chameleon.md Co-authored-by:
Pablo Montalvo <39954772+molbap@users.noreply.github.com> Co-authored-by:
ArthurZucker <arthur.zucker@gmail.com> Co-authored-by:
Leonid Shamis <lshamis@meta.com> Co-authored-by:
Joao Gante <joaofranciscocardosogante@gmail.com> Co-authored-by:
Joao Gante <joao@huggingface.co> Co-authored-by:
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- 11 Jul, 2024 1 commit
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Naman Garg authored
* initialized Structure * Updated variable names * Added Config class, basic HF setup, convert_to_hf * Fixed Convert function, added hiera to HF files, Initilized test files * better naming for x in forward pass * Moved utils to hiera * Change hiera -> hiera_model * Fixed integration into tranformers * Fix: Convert Checkpoint * added documentation for hiera * added documentation for hiera * added Docstings to models, Transformers based changes * make style and quality * make style and quality * Integration & Block tests running * Fixed bugs * initialized Structure * Updated variable names * Added Config class, basic HF setup, convert_to_hf * Fixed Convert function, added hiera to HF files, Initilized test files * better naming for x in forward pass * Moved utils to hiera * Change hiera -> hiera_model * Fixed integration into tranformers * Fix: Convert Checkpoint * added documentation for hiera * added documentation for hiera * added Docstings to models, Transformers based changes * make style and quality * make style and quality * Integration & Block tests running * Fixed bugs * Removed tim dependency * added HieraBlock * fixed: Model name * added tests for HieraModel, HieraBlock * fixed imports * fixed quality & copies * Fixes * Update docs/source/en/model_doc/hiera.md Fix name Co-authored-by:
Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/model_doc/hiera.md Co-authored-by:
Ubuntu <ubuntu@ip-172-31-29-50.us-east-2.compute.internal> Co-authored-by:
Eduardo Pacheco <eduardo.pach@hotmail.com> Co-authored-by:
Eduardo Pacheco <69953243+EduardoPach@users.noreply.github.com> Co-authored-by:
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- 10 Jul, 2024 2 commits
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NielsRogge authored
* Add resources * Address comments
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Raushan Turganbay authored
* add conversion for interleave llava * remove debug lines * remove unused imports * Update src/transformers/models/llava/convert_llava_weights_to_hf.py Co-authored-by:
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- 09 Jul, 2024 1 commit
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hatti authored
remove duplicate words
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- 08 Jul, 2024 2 commits
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Pavel Iakubovskii authored
* Rebase to main * Fix attention implementation autoset for tex and vision configs * Fixup * Minor fixes * Fix copies * Fix attention_mask for FA2 * Add eqvivalence tests for siglip * Remove right padding test * Uncomment flaky * Fix import * Add to docs * Fix test message * Add sdpa * Add sdpa equivalence test * Add siglip sdpa to docs * Fix typing for attention output * Add sdpa tests * Fix signature of FA2 * Autoset attn_implementation in config * Rename bsz -> batch_size * Move back autoset attn method * Mark as flaky * Correct attention mask padding * [run-slow] siglip * Add FA2 and sdpa docs * Style fix * Remove flaky for FA2 test * Change attention implementation set * Change attn_implementaiton propogation * Fix typos * Add modality to assert message * Add more sdpa backends in test * [run slow] siglip * Add math sdpa backend for all options * [run slow] siglip
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NielsRogge authored
* First draft * Add docs * Clean up code * Convert model * Add image processor * Convert Zoe_K * More improvements * Improve variable names and docstrings * Improve variable names * Improve variable names * Replace nn.sequential * More improvements * Convert ZoeD_NK * Fix most tests * Verify pixel values * Verify pixel values * Add squeeze * Update beit to support arbitrary window sizes * Improve image processor * Improve docstring * Improve beit * Improve model outputs * Add figure * Fix beit * Update checkpoint * Fix repo id * Add _keys_to_ignore_on_load_unexpected * More improvements * Address comments * Address comments * Address comments * Address comments * Rename variable name * Add backbone_hidden_size * Vectorize * Vectorize more * Address comments * Clarify docstring * Remove backbone_hidden_size * Fix image processor * Remove print statements * Remove print statement * Add integration test * Address comments * Address comments * Address comments * Address comments * Add requires_backends * Clean up * Simplify conversion script * Simplify more * Simplify more * Simplify more * Clean up * Make sure beit is loaded correctly * Address comment * Address bin_configurations * Use bin_configurations * Convert models, add integration tests * Fix doc test * Address comments * Unify regressor classes * Clarify arguments * Improve resize_image * Add num_relative_features * Address comment * [run-slow]beit,data2vec,zoedepth * [run-slow]beit,data2vec,zoedepth * Address comments * Address comment * Address comment * Replace nn.TransformerEncoderLayer and nn.TransformerEncoder * Replace nn.MultiheadAttention * Add attributes for patch transformer to config * Add tests for ensure_multiple_of * Update organization * Add tests * [run-slow] beit data2vec * Update ruff * [run-slow] beit data2vec * Add comment * Improve docstrings, add test * Fix interpolate_pos_encoding * Fix slow tests * Add docstring * Update src/transformers/models/zoedepth/image_processing_zoedepth.py Co-authored-by:
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- 05 Jul, 2024 2 commits
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Pedro Cuenca authored
* Depth Anything: update conversion script for V2 * Update docs * Style * Revert "Update docs" This reverts commit be0ca47ea1be4f3cd9aa2113bdd8efcc9959119e. * Add docs for depth anything v2 * Add depth_anything_v2 to MODEL_NAMES_MAPPING Done similarly to Flan-T5: https://github.com/huggingface/transformers/pull/19892/files * Add tip in original docs
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Billy Cao authored
* Add siglip loss function * Update docs * Enable training tests [experimental] enable GC training tests as it has worked for my own data * Remove test_training* overrides to enable training tests [run_slow] siglip * Skip training tests for Siglip text model and ImageClassificationModel [run_slow] siglip * Skip GC training tests for SiglipForImageClassification * Explicitly skip training tests for SiglipVisionModel Add skip reason for training tests for SiglipTextModel * Remove copied from to fix CI
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- 02 Jul, 2024 2 commits
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J枚rg Bornschein authored
* Fix documentation for Gemma2. Model sizes and Blog post URL are wrong in the documentation. * Update docs/source/en/model_doc/gemma2.md Co-authored-by:
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Sanchit Gandhi authored
* make work with cache abstraction * correct for static cache * hacks for compile * make fast * fix * fix pos ids * generate * fix sdpa * fix sdpa cache pos * fix fa2 * clean fa2 * integrate cache into generate * make style * copies * more copies * update eager * update sdpa * update fa2 * simplify * use cache pos * always compute cross-cache for debug * avoid recompiles Co-authored-by:
Arthur Zucker <arthur@huggingface.co> * fix fix * fix fix fix * more fix * try encoder-decoder cache (too messy) * revert encoder-decoder cache * check cross-attn cache * use enc-dec dataclass * use richer enc-dec dataclass * clean-up * revert static cache changes * small fixes * revert to cpu flag * fix copies * add static slow test * past k/v docstring * more docstrings * cache_position docstrings * add to docs * add enc-dec cache to docs * make style * fix after rebase * fix beam * style * fix generation strategies * fix most decoder-only tests * style * skip test * more clean up * small docstrings * Apply suggestions from code review Co-authored-by:
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- 27 Jun, 2024 2 commits
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Steven Liu authored
quick usage to top
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Arthur authored
* inital commit * Add doc * protect? * fixup stuffs * update tests * fix build documentation * mmmmmmm config attributes * style * nit * uodate * nit * Fix docs * protect some stuff --------- Co-authored-by:Lysandre <lysandre@huggingface.co>
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- 26 Jun, 2024 3 commits
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Raushan Turganbay authored
* squash into single commit * run diff once more * docstring * tests * minor chnages and ready to go * Update src/transformers/models/llava_next_video/processing_llava_next_video.py Co-authored-by:
ydshieh <ydshieh@users.noreply.github.com>
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Pavel Iakubovskii authored
Update code snippet
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Anton Vlasjuk authored
* starting support for sdpa in `gptneox` models * small comment on tests * fix dropout * documentation and style * clarify concrete paths for reference * generalise attn projections and rope application added head mask check to sdpa mask creation handle sdpa memory backend bug via own version flag * update docs and style * move dtype casting outside of general attn_projection_and_rope function fix flash_attn_2 stuff * more generic attn warning if output_attns or head_mask * simplify head mask check by moving head mask creation to a later point * remove copied llama artifact * remove padding_mask from attention function signature * removing unnecessary comments, only "save" attn implementation once * [run_slow] gpt_neox
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- 25 Jun, 2024 1 commit
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Raushan Turganbay authored
* squash in single commit * add docs * dummy obj * more changes in diff converter * tiny fix * make docs happy * skip test * repo consistency tests * update docstring * style * fix tests * change diff imports * [run-slow] instructblipvideo * [run-slow] instructblipvideo * fix tests and remove logit check * [run-slow] instructblipvideo
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- 21 Jun, 2024 1 commit
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Sangbum Daniel Choi authored
* fill out docs string in configuration https://github.com/huggingface/transformers/pull/29077/files/75dcd3a0e82cca36f12178b65bbd071ab7b25088#r1506391856 * reduce the input image size for the tests * remove the unappropriate tests * only 5 failes exists * make style * fill up missed architecture for object detection in docs * fix auto modeling * simple fix in missing import * major change including backbone refactor and objectdetectionoutput refactor * minor fix only 4 fails left * intermediate fix * revert __init__.py * revert __init__.py * make style * fixes in pr_docs * intermediate fix * make style * two fixes * pass doctest * only one fix left * intermediate commit * all fixed * Update src/transformers/models/rt_detr/image_processing_rt_detr.py Co-authored-by:
Sounak Dey <dey.sounak@gmail.com> * change last_hidden_state to first index * all pass fix TO DO: minor update in comments * make fix-copies * remove deepcopy * pr_document fix * revert deepcopy due to the issue of unexpceted behavior in decoderlayer * add atol in final * add no_split_module * _no_split_modules = None * device transfer for model parallelism * minor fix * make fix-copies * fix typo * add test_image_processor with post_processing * Update src/transformers/models/rt_detr/configuration_rt_detr.py Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/rt_detr/configuration_rt_detr.py Co-authored-by:
Jason Wu <jasonkit@users.noreply.github.com> * enable all the rtdetr model :) * finish except CI * add RTDetrResNetBackbone * make fix-copies * fix TO DO: CI enable * make style * rename test * add docs * add special fix * revert resnet * Update src/transformers/models/rt_detr/modeling_rt_detr_resnet.py Co-authored-by:
ChoiSangBum <choisangbum@ChoiSangBumui-MacBookPro.local>
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- 19 Jun, 2024 2 commits
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Billy Cao authored
* Add docs on pipeline templates * Fix example and comments Update usage tips * Update docs/source/en/tasks/zero_shot_image_classification.md Co-authored-by:
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Anton Vlasjuk authored
* `gpt2` sdpa support * fix (at least) one test, style, repo consistency * fix sdpa mask in forward --> fixes generation * test * test2 * test3 * test4 * simplify shapes for attn mask creation and small comments * hub fail test * benchmarks * flash attn 2 mask should not be inverted on enc-dec setup * fix comment * apply some suggestion from code review - only save _attn_implentation once - remove unnecessary comment * change elif logic * [run-slow] gpt2 * modify `test_gpt2_sample_max_time` to follow previous assertion patterns
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- 11 Jun, 2024 1 commit
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amyeroberts authored
* Draft fast image processors * Draft working fast version * py3.8 compatible cache * Enable loading fast image processors through auto * Tidy up; rescale behaviour based on input type * Enable tests for fast image processors * Smarter rescaling * Don't default to Fast * Safer imports * Add necessary Pillow requirement * Woops * Add AutoImageProcessor test * Fix up * Fix test for imagegpt * Fix test * Review comments * Add warning for TF and JAX input types * Rearrange * Return transforms * NumpyToTensor transformation * Rebase - include changes from upstream in ImageProcessingMixin * Safe typing * Fix up * convert mean/std to tesnor to rescale * Don't store transforms in state * Fix up * Update src/transformers/image_processing_utils_fast.py Co-authored-by:
Pavel Iakubovskii <qubvel@gmail.com> * Add equivalence and speed tests * Fix up --------- Co-authored-by:
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- 10 Jun, 2024 1 commit
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Pavel Iakubovskii authored
* Fix do_reduce_labels for maskformer image processor * Deprecate reduce_labels in favor to do_reduce_labels * Deprecate reduce_labels in favor to do_reduce_labels (segformer) * Deprecate reduce_labels in favor to do_reduce_labels (oneformer) * Deprecate reduce_labels in favor to do_reduce_labels (maskformer) * Deprecate reduce_labels in favor to do_reduce_labels (mask2former) * Fix typo * Update mask2former test * fixup * Update segmentation examples * Update docs * Fixup * Imports fixup * Add deprecation decorator draft * Add deprecation decorator * Fixup * Add deprecate_kwarg decorator * Validate kwargs decorator * Kwargs validation (beit) * fixup * Kwargs validation (mask2former) * Kwargs validation (maskformer) * Kwargs validation (oneformer) * Kwargs validation (segformer) * Better message * Fix oneformer processor save-load test * Update src/transformers/utils/deprecation.py Co-authored-by:
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- 05 Jun, 2024 1 commit
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Vaibhav Srivastav authored
* doc: add info about wav2vec2 bert in older wav2vec2 models. * apply suggestions from review. * forward contrib credits from review --------- Co-authored-by:Sanchit Gandhi <sanchit-gandhi@users.noreply.github.com>
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- 04 Jun, 2024 1 commit
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Younes Belkada authored
* deprecate blip * mention deprecation on docs
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- 31 May, 2024 2 commits
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Pavel Iakubovskii authored
* Initial setup * Metrics * Overfit on two batches * Train 40 epochs * Memory leak debugging * Trainer fine-tuning * Draft * Fixup * Trained end-to-end * Add requirements * Rewrite evaluator * nits * Add readme * Add instance-segmentation to the table * Support void masks * Remove sh * Update docs * Add pytorch test * Add accelerate test * Update examples/pytorch/instance-segmentation/README.md * Update examples/pytorch/instance-segmentation/run_instance_segmentation.py * Update examples/pytorch/instance-segmentation/run_instance_segmentation_no_trainer.py * Update examples/pytorch/instance-segmentation/run_instance_segmentation_no_trainer.py * Update examples/pytorch/instance-segmentation/run_instance_segmentation.py * Fix consistency oneformer * Fix imports * Fix imports sort * Apply suggestions from code review Co-authored-by:
Sangbum Daniel Choi <34004152+SangbumChoi@users.noreply.github.com> * Add resources to docs * Update examples/pytorch/instance-segmentation/README.md Co-authored-by:
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Asif Ajrof authored
`mask` variable is not defined. probably a writing mistake. it should be `segmentation_map`. `segmentation_map` should be a `1` channel image rather than `RGB`. [on a different note, the `mask_url` is the same as `raw_image`. could provide a better example.
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- 28 May, 2024 2 commits
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amyeroberts authored
* Deprecate models - graphormer - time_series_transformer - xlm_prophetnet - qdqbert - nat - ernie_m - tvlt - nezha - mega - jukebox - vit_hybrid - x_clip - deta - speech_to_text_2 - efficientformer - realm - gptsan_japanese * Fix up * Fix speech2text2 imports * Make sure message isn't indented * Fix docstrings * Correctly map for deprecated models from model_type * Uncomment out * Add back time series transformer and x-clip * Import fix and fix-up * Fix up with updated ruff
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NielsRogge authored
* Update docs * Add PaliGemma resources * Address comment * Update docs
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- 27 May, 2024 1 commit
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Eitan Turok authored
* Fix link in dbrx.md * remove "though this may not be up to date" --------- Co-authored-by:Lysandre Debut <hi@lysand.re>
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- 23 May, 2024 1 commit
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Aritra Roy Gosthipaty authored
* chore: initial commit * chore: adding imports and inits * chore: adding the causal and classification code * chore: adding names to the layers * chore: using single self attn layer * chore: built the model and layers * chore: start with testing * chore: docstring change, transpose fix * fix: rotary embedding * chore: adding cache implementation * remove unused torch * chore: fixing the indexing issue * make fix-copies * Use modeling_tf_utils.keras * make fixup * chore: fixing tests * chore: adding past key value logic * chore: adding multi label classfication test * fix: switching on the built parameters in the layers * fixing repo consistency * ruff formats * style changes * fix: tf and pt equivalence * removing returns from docstrings * fix docstrings * fix docstrings * removing todos * fix copies * fix docstring * fix docstring * chore: using easier rotate_half * adding integration tests * chore: addressing review related to rotary embedding layer * review changes * [run-slow] mistral * skip: test save load after resize token embedding * style --------- Co-authored-by:Matt <rocketknight1@gmail.com>
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- 22 May, 2024 2 commits
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Vaibhav Srivastav authored
[doc] Add references to the fine-tuning blog and distil-whisper to Whisper doc.
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Raushan Turganbay authored
* update video-llava * Update docs/source/en/model_doc/video_llava.md Co-authored-by:
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- 21 May, 2024 1 commit
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NielsRogge authored
* Update ignore index * Update docs * Update docs
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- 20 May, 2024 2 commits
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Raushan Turganbay authored
* update docs with batch ex * Update docs/source/en/model_doc/llava_next.md Co-authored-by:
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Joseph Enguehard authored
* Add MistralForTokenClassification * Add tests and docs * Add token classification for Mixtral and Qwen2 * Save llma for token classification draft * Add token classification support for Llama, Gemma, Persimmon, StableLm and StarCoder2 * Formatting * Add token classification support for Qwen2Moe model * Add dropout layer to each ForTokenClassification model * Add copied from in tests * Update src/transformers/models/llama/modeling_llama.py Co-authored-by:
Younes Belkada <49240599+younesbelkada@users.noreply.github.com> * Propagate suggested changes * Style --------- Co-authored-by:
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- 16 May, 2024 3 commits
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Raushan Turganbay authored
fix model id in docs
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NielsRogge authored
* Add resources * Address comment * Address comments * Update docs/source/en/model_doc/idefics2.md Co-authored-by:
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hyenal authored
remove blank line (+1 squashed commit) Squashed commits: [24ccd2061] [run-slow]vit_msn,vision_encoder_decoder (+24 squashed commits) Squashed commits: [08bd27e7a] [run-slow]vit_msn,vision_encoder_decoder [ec96a8db3] [run-slow]vit_msn [ead817eca] fix vit msn multi gpu [d12cdc8fd] [run-slow]audio_spectrogram_transformer,deit,vision_encoder_decoder,vision_text_dual_encoder,vit,vit_hybrid,vit_mae,vit_msn,videomae,yolos [3fdbfa88f] doc [a3ff33e4a] finish implementation [e20b7b7fb] Update test_modeling_common.py [e290c5810] Update test_modeling_flax_common.py [d3af86f46] comment [ff7dd32d8] more comments [59b137889] suggestion [7e2ba6d67] attn_implementation as attribute of the class [fe66ab71f] minor [38642b568] Apply suggestions from code review Accept comments Co-authored-by:
Liubov Yaronskaya <luba.yaronskaya@gmail.com>
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- 15 May, 2024 1 commit
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Raushan Turganbay authored
* add model draft * update docstring * add tests * support image and video as input * update for better handling of mixed input and clean-up a bit * bug when mixed inputs & add tests * Update README.md Co-authored-by:
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- 14 May, 2024 1 commit
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Pablo Montalvo authored
* add new model like * add state dict slicing + new model config * update palma config and weights, passes vision activations * fix * update * reorder loading/unpacking * clean up * add debug statements * change device * fix * debugging * fix noncausal mask * fixup sdpa + causal mask * fix activation function * remove debug before changing modeling file * add variants * debug attention mask in generate * revert to non-debug sdpa * revert gemma modifications * add custom language modeling * use Processor * add language modeling file to init * try thin wrapper around generate * Update * update mask * breakpoints galore * remove conflict * switch to left-padding * add incomplete model doc * add paligemma global files * batch rename paligemma * make generation match outputs and captioning * style * style * remove copied from + doc * remove more copied from * remove copy from projector * minor fix * update config and style * add readme - dummy * CORRECT image captioning * moving to args * add siglip proper + fix merging image + text features * take update_causal_mask from upstream * remove breakpoint * leverage AutoModel * fix input_ids slicing * make siglip head conditional * remove encoder_decoder value * remove unneeded modeling file * add commented 4d attention mask * FIXED generation with 4D mask * Update src/transformers/models/siglip/modeling_siglip.py Co-authored-by:
Merve Noyan <merveenoyan@gmail.com> * simplify conversion script * add copied from * add precision to conversion script * Update src/transformers/models/paligemma/modeling_paligemma.py Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> * clean up * Shift attention mask from `1:` After discussion with @molbap * add docs, fix quality * quality, tied weights inheritance, and logits/label alignment * fix more tests * pass attn_implementation to language model correctly * add SiglipVisionTransformer to no split modules * skip paligemma test for sdpa dispatch to flash * skip incompatible tests * quality * [broken archive maps] * Apply suggestions - remove archive lists - style - take shape of inputs_embeds for batch Co-authored-by:
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