"...lm-evaluation-harness.git" did not exist on "f4e380816fdff6999365f507f8c265f7fdb49077"
- 03 Feb, 2023 1 commit
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Matthijs Hollemans authored
* make SpeechT5 model by copying Wav2Vec2 * add paper to docs * whoops added docs in wrong file * remove SpeechT5Tokenizer + put CTC back in the name * remove deprecated class * remove unused docstring * delete SpeechT5FeatureExtractor, use Wav2Vec2FeatureExtractor instead * remove classes we don't need right now * initial stab at speech encoder prenet * add more speech encoder prenet stuff * improve SpeechEncoderPrenet * add encoder (not finished yet) * add relative position bias to self-attention * add encoder CTC layers * fix formatting * add decoder from BART, doesn't work yet * make it work with generate loop * wrap the encoder into a speech encoder class * wrap the decoder in a text decoder class * changed my mind * changed my mind again ;-) * load decoder weights, make it work * add weights for text decoder postnet * add SpeechT5ForCTC model that uses only the encoder * clean up EncoderLayer and DecoderLayer * implement _init_weights in SpeechT5PreTrainedModel * cleanup config + Encoder and Decoder * add head + cross attention masks * improve doc comments * fixup * more cleanup * more fixup * TextDecoderPrenet works now, thanks Kendall * add CTC loss * add placeholders for other pre/postnets * add type annotation * fix freeze_feature_encoder * set padding tokens to 0 in decoder attention mask * encoder attention mask downsampling * remove features_pen calculation * disable the padding tokens thing again * fixup * more fixup * code review fixes * rename encoder/decoder wrapper classes * allow checkpoints to be loaded into SpeechT5Model * put encoder into wrapper for CTC model * clean up conversion script * add encoder for TTS model * add speech decoder prenet * add speech decoder post-net * attempt to reconstruct the generation loop * add speech generation loop * clean up generate_speech * small tweaks * fix forward pass * enable always dropout on speech decoder prenet * sort declaration * rename models * fixup * fix copies * more fixup * make consistency checker happy * add Seq2SeqSpectrogramOutput class * doc comments * quick note about loss and labels * add HiFi-GAN implementation (from Speech2Speech PR) * rename file * add vocoder to TTS model * improve vocoder * working on tokenizer * more better tokenizer * add CTC tokenizer * fix decode and batch_code in CTC tokenizer * fix processor * two processors and feature extractors * use SpeechT5WaveformFeatureExtractor instead of Wav2Vec2 * cleanup * more cleanup * even more fixup * notebooks * fix log-mel spectrograms * support reduction factor * fixup * shift spectrograms to right to create decoder inputs * return correct labels * add labels for stop token prediction * fix doc comments * fixup * remove SpeechT5ForPreTraining * more fixup * update copyright headers * add usage examples * add SpeechT5ProcessorForCTC * fixup * push unofficial checkpoints to hub * initial version of tokenizer unit tests * add slow test * fix failing tests * tests for CTC tokenizer * finish CTC tokenizer tests * processor tests * initial test for feature extractors * tests for spectrogram feature extractor * fixup * more fixup * add decorators * require speech for tests * modeling tests * more tests for ASR model * fix imports * add fake tests for the other models * fixup * remove jupyter notebooks * add missing SpeechT5Model tests * add missing tests for SpeechT5ForCTC * add missing tests for SpeechT5ForTextToSpeech * sort tests by name * fix Hi-Fi GAN tests * fixup * add speech-to-speech model * refactor duplicate speech generation code * add processor for SpeechToSpeech model * add usage example * add tests for speech-to-speech model * fixup * enable gradient checkpointing for SpeechT5FeatureEncoder * code review * push_to_hub now takes repo_id * improve doc comments for HiFi-GAN config * add missing test * add integration tests * make number of layers in speech decoder prenet configurable * rename variable * rename variables * add auto classes for TTS and S2S * REMOVE CTC!!! * S2S processor does not support save/load_pretrained * fixup * these models are now in an auto mapping * fix doc links * rename HiFiGAN to HifiGan, remove separate config file * REMOVE auto classes * there can be only one * fixup * replace assert * reformat * feature extractor can process input and target at same time * update checkpoint names * fix commit hash
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- 31 Jan, 2023 1 commit
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NielsRogge authored
* First draft * Add initial draft of conversion script * Convert all weights * Fix config * Add image processor * Fix DetaImageProcessor * Run make fix copies * Remove timm dependency * Fix dummy objects * Improve loss function * Remove conv_encoder attribute * Update conversion scripts * Improve postprocessing + docs * Fix copied from statements * Add tests * Improve postprocessing * Improve postprocessing * Update READMEs * More improvements * Fix rebase * Add is_torchvision_available * Add torchvision dependency * Fix typo and README * Fix bug * Add copied from * Fix style * Apply suggestions * Fix thanks to @ydshieh * Fix another dependency check * Simplify image processor * Add scipy * Improve code * Add threshold argument * Fix bug * Set default threshold * Improve integration test * Add another integration test * Update setup.py * Address review * Improve deformable attention function * Improve copied from * Use relative imports * Address review * Replace assertions * Address review * Update dummies * Remove dummies * Address comments, update READMEs * Remove custom kernel code * Add image processor tests * Add requires_backends * Add minor comment * Update scripts * Update organization name * Fix defaults, add doc tests * Add id2label for object 365 * Fix tests * Update task guide
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- 25 Jan, 2023 1 commit
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Anahita Bhiwandiwalla authored
* Commit with BTModel and latest HF code * Placeholder classes for BTForMLM and BTForITR * Importing Bert classes from transformers * Removed objectives.py and dist_utils.py * Removed swin_transformer.py * Add image normalization, BridgeTowerForImageAndTextRetrieval * Add center_crop * Removing bert tokenizer and LCI references * Tested config loading from HF transformers hub * Removed state_dict updates and added path to hub * Enable center crop * Getting image_size from config, renaming num_heads and num_layers * Handling max_length in BridgeTowerProcessor * Add BridgeTowerForMaskedLM * Add doc string for BridgeTowerConfig * Add doc strings for BT config, processor, image processor * Adding docs, removed swin * Removed convert_bridgetower_original_to_pytorch.py * Added doc files for bridgetower, removed is_vision * Add support attention_mask=None and BridgeTowerModelOutput * Fix formatting * Fixes with 'make style', 'make quality', 'make fixup' * Remove downstream tasks from BridgeTowerModel * Formatting fixes, add return_dict to BT models * Clean up after doc_test * Update BTModelOutput return type, fix todo in doc * Remove loss_names from init * implement tests and update tuples returned by models * Add image reference to bridgetower.mdx * after make fix-copies, make fixup, make style, make quality, make repo-consistency * Rename class names with BridgeTower prefix * Fix for image_size in BTImageProcessor * implement feature extraction bridgetower tests * Update image_mean and image_std to be list * remove unused import * Removed old comments * Rework CLIP * update config in tests followed config update * Formatting fixes * Add copied from for BridgeTowerPredictionHeadTransform * Update bridgetower.mdx * Update test_feature_extraction_bridgetower.py * Update bridgetower.mdx * BridgeTowerForMaskedLM is conditioned on image too * Add BridgeTowerForMaskedLM * Fixes * Call post_init to init weights * Move freeze layers into method * Remove BTFeatureExtractor, add BT under multimodal models * Remove BTFeatureExtractor, add BT under multimodal models * Code review feedback - cleanup * Rename variables * Formatting and style to PR review feedback * Move center crop after resize * Use named parameters * Style fix for modeling_bridgetower.py * Update docs/source/en/model_doc/bridgetower.mdx Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update docs/source/en/model_doc/bridgetower.mdx Co-authored-by:
Younes Belkada <49240599+younesbelkada@users.noreply.github.com> * Update src/transformers/models/bridgetower/modeling_bridgetower.py Co-authored-by:
Shaoyen Tseng <shao-yen.tseng@intel.com> Co-authored-by:
Tiep Le <tiep.le@intel.com> Co-authored-by:
Tiep Le <97980157+tileintel@users.noreply.github.com>
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- 23 Jan, 2023 1 commit
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Sylvain Gugger authored
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- 20 Jan, 2023 1 commit
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Bartosz Szmelczynski authored
- Adds EfficientFormer V1 to transformers - PR co-authored by @novice03 and @Bearnardd Co-authored-by:
novice <pranavpulijala@gmail.com> Co-authored-by:
novice <44259234+novice03@users.noreply.github.com>
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- 19 Jan, 2023 2 commits
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Cl茅mentine Fourrier authored
* [FT] First commit for graphormer architecture. The model has no tokenizer, as it uses a collator and preprocessing function for its input management. Architecture to be tested against original one. The arch might need to be changed to fit the checkpoint, but a revert to the original arch will make the code less nice to read. TODO: doc * [FIX] removed test model * [FIX] import error * [FIX] black and flake * [DOC] added paper refs * [FIX] [DOC] * [FIX] black * [DOC] Updated READMEs * [FIX] Order of imports + rm Tokenizer calls * [FIX] Moved assert in class to prevent doc build failure * [FIX] make fix-copies * [Doc] update from code review Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * [FIX] Removed Graphormer from Sequence classification model list * [DOC] Added HF copyright to Cython file * [DOC] Fixed comments * [FIX] typos in class doc + removed config classes. Todo: update doc from paper definitions * [FIX] Removed dependency to fairseq, and replaced all asserts with Exception management * [FIX] Homogeneized initialization of weights to pretrained constructor * [FIX] [CP] Updated multi_hop parameter to get same results as in original implementation * [DOC] Relevant parameter description in the configuration file * [DOC] Updated doc and comments in main graphormer file * [FIX] make style and quality checks * [DOC] Fix doc format * [FIX] [WIP] Updated part of the tests, though still a wip * [FIX] [WIP] * [FIX] repo consistency * [FIX] Changed input names for more understandability * [FIX] [BUG] updated num_classes params for propagation in the model * simplified collator * [FIX] Updated tests to follow new naming pattern * [TESTS] Updated test suite along with model * |FIX] rm tokenizer import * [DOC] add link to graphormerdoc * Changed section in doc from text model to graph model * Apply suggestions from code review Spacing, inits Co-authored-by:
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Jitesh Jain authored
* Add Oneformer Model * Add OneFormer Tests * Add UNIVERSAL_SEGMENTATION_MAPPING * Fix config *
馃悰 Fix error encountered while writing tests *馃敤 Fix instance segmentation post processing * Format Files and Add Documentation * Add Documentation mdx file * Run make fixup * Run make fix-copies * Remove unnecessary code * Format modeling_oneformer.py * Add OneFormer to ImageSegmentationPipeline * Format files * Add Demo link to Readme * Fix fomatting errors * Fix test failures * Update Table in index.mdx * Fix version * Fix style * Remove OneFormer from TF * Fix Imports * Fix dummy objects * Fix tests * Add newline * Remove OneFormerFeatureExtractor * Remove CUDA Kernels * Use AutoBackbone for Swin * Fix description * Use Image Processor * Fix copies * Fix formatting * Fix import order * Fix flake8 errors * Fix doc errors * Add Hindi Readme entry * Update supported backbones * Update supported backbones * Undo Changes * Fix type of config * Fix isort * Fix auto.mdx * Fix swin config * Replace DinatBackbone with AutoBackbone * Use SwinBackbone * Use SwinBackbone * Fix conversion script * Fix arguments * Add argument description * Fix style * Add OneFormerProcessor * Fix OneFormerProcessor Tests * Fix mapping * Fix imports * Fix inits * Fix style * Fix comment * Fix docstring * Move OneFormer to MultiModal * Fix Copies * Remove size divisor * Fix check_repo.py * Fix copies * Add Processor for Testing Pipeline * Fix padding for tokens * Fix variables * Fix formatting with correct black version * Add Image Processor Test * Apply suggestions * Revert common modeling * Add check for task * Fix conversion script * Fix initialization order * Fix tests * Undo Pipeline Changes * Fix layers in MLP * Fix copies * Update image paths * Fix copies * Apply suggestions
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- 17 Jan, 2023 1 commit
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NielsRogge authored
* Add resources * Add more resources * Add more resources * Add TAPAS * Fix pipeline tag * Fix pipeline tags * Remove pipeline tag * Remove depth-estimation tag * Update docs/source/en/model_doc/segformer.mdx Co-authored-by:
Maria Khalusova <kafooster@gmail.com> * Apply suggestion * Fix segformer Co-authored-by:
Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> Co-authored-by:
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- 16 Jan, 2023 2 commits
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Alara Dirik authored
* Adds Mask2Former to transformers Co-authored-by:
Shivalika Singh <shivalikasingh95@gmail.com> Co-authored-by:
Shivalika Singh <73357305+shivalikasingh95@users.noreply.github.com> Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by:
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NielsRogge authored
* First draft * More improvements * Add convnext backbone * Add conversion script * Add more improvements * Comment out to_dict * Add to_dict method * Add default config * Fix config * Fix backbone * Fix backbone some more * Add docs, auto mapping, tests * Fix some tests * Fix more tests * Fix more tests * Add conversion script * Improve conversion script * Add support for getting reshaped undownsampled hidden states * Fix forward pass * Add print statements * Comment out set_shift_and_window_size * More improvements * Correct downsampling layers conversion * Fix style * First draft * Fix conversion script * Remove config attribute * Fix more tests * Update READMEs * Update ConvNextBackbone * Fix ConvNext tests * Align ConvNext with Swin * Remove files * Fix index * Improve docs * Add output_attentions to model forward * Add backbone mixin, improve tests * More improvements * Update init_weights * Fix interpolation of logits * Add UperNetImageProcessor * Improve image processor * Fix image processor * Remove print statements * Remove script * Update import * Add image processor tests * Remove print statements * Fix test * Add integration test * Add convnext integration test * Update docstring * Fix README * Simplify config * Apply suggestions * Improve docs * Rename class * Fix test_initialization * Fix import * Address review * Fix confg * Convert all checkpoints * Fix default backbone * Usage same processor as segformer * Apply suggestions * Fix init_weights, update conversion scripts * Improve config * Use Auto API instead of creating a new image processor * Fix docs * Add doctests * Remove ResNetConfig dependency * Add always_partition argument * Fix rebase茅 * Improve docs * Convert checkpoints Co-authored-by:
Niels Rogge <nielsrogge@Nielss-MBP.localdomain>
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- 04 Jan, 2023 2 commits
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陌dil S眉lo authored
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Jongjyh authored
* add altclip * update * fix wrong title * fix the copyright in readme * add altclip model * add altclip * fix test_gradient_checkpointing_enable_disable * code * add return class * add projection_state * "fix pretrained model bug" * delete print and fix 2 test instances. * delete token * rm xlmr * one model one file. * empty commit to trigger CI * Fix modeling_outputs.py * Fix __init__ * Fix quality * Fix modeling file docstring * Fix README.md * Fix test file * add vision model * empty commit to trigger CI * fix * fix * fix * fix * fix * fix * fix * fix * fix * del token in mdx file * fix * fix * fix * remove altrob from test list * add vision test * fix fx * fix * fix * fix * trigger CI * fix copies * fix tests * fix style * fix quality * update * recover import * recover * add , * recover * fix copies * trigger CI * fix * some of review * update * remove import * last 2 * fix * fix style * fix style * fix bug * fix uncomment * fix * update * fix * second review * empty commit to trigger CI * empty commit to trigger CI * fix position * fix * empty commit to trigger CI * empty commit to trigger CI * third comment * Update docs/source/en/model_doc/altclip.mdx Co-authored-by:
Yih-Dar <2521628+ydshieh@users.noreply.github.com> * Update docs/source/en/model_doc/altclip.mdx Co-authored-by:
shunxing1234 <xw747777271@gmail.com> Co-authored-by:
ydshieh <ydshieh@users.noreply.github.com> Co-authored-by:
shunxing1234 <33774367+shunxing1234@users.noreply.github.com> Co-authored-by:
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- 03 Jan, 2023 1 commit
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NielsRogge authored
* First draft * Make model instantiation work * Fix copied from statement * More fixes * Add correct output head * Improve configuration * Add conversion script * Improve conversion script * Remove token_type_ids * Fix conversion of projection layers * Convert all weights * Use cats image * Make logits match * Generate caption on cats image * Add GITProcessor * Update conversion script * Add support for more checkpoints * Fix conversion script * Add initial tests * Remove cross-attention * More improvements * Remove is_decoder * Improve model tests * Improve tests * Improve model outputs * Fix model outputs equivalence * Fix more tests * Remove unused code * Use generate to generate text, no use of cache for now * Use generate more appropriately * Fix config tests * Fix style * Add support for use_cache Co-authored-by:
Joao Gante <joaofranciscocardosogante@gmail.com> * Fix style * Fix GIT vision encoder * Update README * Fix integration test * Set bos and eos token ids * Improve docs * Improve code * Add support for provided attention_mask * Add copied from statement * Fix gradient checkpointing test * Set model_input_names * Investigate model_input_names * Remove script * Fix model inputs * Fix docstring * Rename GIT to Git * Support more models * Add support for textvqa model * Add video support * Extend conversion script for video * Add support for large variant * Add support for more models * Fix config archive map * Update integration test * Fix README * Fix CLIP mean and std * Update processor * Fix use_cache for video, thanks @gante * Remove print statements * Remove assertion * Add processor tests * Fix model_input_names * Use Auto API for processor * Fix processor tests * Fix integration test * Fix pipeline test * Make tests faster * Update conversion script * Update conversion script * Convert more checkpoints * Update conversion script * Fix typo * Update docstrings * Improve code snippets * Fix doc tests * Add more code examples茅 * Fix doc tests * Add integration tests * Fix unused variable * revert * Add GIT to Japanese README Co-authored-by:
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- 21 Dec, 2022 1 commit
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Younes Belkada authored
* add new model like * add v1 * v1 * v1 * vision encoder logits match * v2 * fix * add docstring * CI tests pass * fix tests * make fixup * add to `toctree` * fix processors * fix processors * fix doc * fill title * add content doc * remove from tokenization auto * fix config * change order * add `# Copied from` * few fixes - add correct license on modeling text - remove dummy argument * Apply suggestions from code review Co-authored-by:
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- 19 Dec, 2022 1 commit
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Andreas Madsen authored
* Copy RoBERTa * formatting * implement RoBERTa with prelayer normalization * update test expectations * add documentation * add convertion script for DinkyTrain weights * update checkpoint repo Unfortunately the original checkpoints assumes a hacked roberta model * add to RoBERTa-PreLayerNorm docs to toc * run utils/check_copies.py * lint files * remove unused import * fix check_repo reporting wrongly a test is missing * fix import error, caused by rebase * run make fix-copies * add RobertaPreLayerNormConfig to ROBERTA_EMBEDDING_ADJUSMENT_CONFIGS * Fix documentation <Facebook> -> Facebook Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * fixup: Fix documentation <Facebook> -> Facebook Co-authored-by:
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- 16 Dec, 2022 1 commit
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NielsRogge authored
* First draft * Add more improvements * Improve forward pass * Fix layernorm * Add upscaler * More improvements * More improvements * More improvements * Improve conversion script * Add preprocessing * Make output match original implementation * Add additional attributes * Add support for more models * Support more models * Add support for real world sr * Add initial Swin2SRFeatureExtractor * Add ImageSuperResolutionOutput * Make more tests pass * Use BaseModelOutput * Fix one more test * Fix more tests * Fix another test * Fix all tests * Rename to Swin2SRImageProcessor * Fix toctree * Fix toctree * Fix rebase * Improve Swin2SRImageProcessor * Remove feature extractor file * Improve model * Improve conversion script * Fix integration test * Fix init * Fix conversion script * Address comments * Improve upsampler * Add NearestConvUpsampler * Improve pixel shuffle upsampler * Improve auxiliary upsampler * Improve conversion script * Rename conv_last to final_convolution * Fix rebase * Improve upsample module * Add padding to image processor * Fix bug * Update padding * Remove print statement and fix integration test * Improve docs * Add image processor tests * Convert all checkpoints, fix tests茅 * Remove print statements * Fix import Co-authored-by:
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- 12 Dec, 2022 1 commit
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Ariel Ekgren authored
* Add templates for gpt-sw3 * Add templates for gpt-sw3 * Added sentencepiece tokenizer * intermediate commit with many changes * fixed conflicts * Init commit for tokenization port * Tokenization progress * Remove fast tokenizer * Clean up and rename spm.model -> spiece.model * Remove TF -> PT conversion script template, Clean up Megatron -> PT script * Optimize encode & decode performance * added new attention * added new attention * attention for gpt-sw3 working * attention good * Cache is now working * fixed attention mask so that it works with causal attention * fixed badbmm bug for cpu and caching * updated config with correct parameters * Refactor and leave optimizations as separate functions to avoid breaking expected functionality * Fix special tokens mapping for both tokenizers * cleaning up of code and comments * HF compatible attention outputs * Tokenizer now passing tests, add documentation * Update documentation * reverted back to base implementation after checking that it is identical to pretrained model * updated gpt-sw3 config * updated conversion script * aligned parameters with gpt-sw3 config * changed default scale_attn_by_inverse_layer_idx to true * removed flag from conversion script * added temporary model path * reverted back to functioning convert script * small changes to default config * updated tests for gpt-sw3 * make style, make quality, minor cleanup * Change local paths to testing online repository * Change name: GptSw3 -> GPTSw3 * Remove GPTSw3TokenizerFast references * Use official model repository and add more model sizes * Added reference to 6.7b model * Add GPTSw3DoubleHeadsModel to IGNORE_NON_AUTO_CONFIGURED, like GPT2DoubleHeadsModel * Remove pointers to non-existing TFGPTSw3 * Add GPTSw3 to docs/_toctree.yml * Remove TF artifacts from GPTSw3 in __init__ files * Update README:s with 'make fix-copies' * Add 20b model to archive list * Add documentation for GPT-Sw3 * Fix typo in documentation for GPT-Sw3 * Do 'make fix-copies' again after having updated docs * Fix some typos in docs * Update src/transformers/models/gpt_sw3/configuration_gpt_sw3.py Co-authored-by:
JoeyOhman <joeyoh@kth.se> Co-authored-by:
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- 07 Dec, 2022 1 commit
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NielsRogge authored
* First draft * More improvements * Add backbone, first draft of ViT hybrid * Add AutoBackbone * More improvements * Fix bug * More improvements * More improvements * Convert ViT-hybrid * More improvements * add patch bit * Fix style * Improve code * cleaned v1 * more cleaning * more refactoring * Improve models, add tests * Add docs and tests * Make more tests pass * Improve default backbone config * Update model_type * Fix more tests * Add more copied from statements * More improvements * Add push to hub to conversion scripts * clean * more cleanup * clean * replace to * fix * Update src/transformers/models/bit/configuration_bit.py Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> * remove comment * remove comment * replace * replace * remove all conv_layer * refactor norm_layer * revert x * add copied from * last changes + integration tests * make fixup * Apply suggestions from code review Co-authored-by:
younesbelkada <younesbelkada@gmail.com> Co-authored-by:
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- 06 Dec, 2022 1 commit
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Sourab Mangrulkar authored
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- 05 Dec, 2022 1 commit
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Kamal Raj Kanakarajan authored
* biogpt initial commit * updated init * fix faster decoding with use_cache * 1. fix input_ids and input_embeds with correct device 2. added _keys_to_ignore_on_load_missing 3. updated prepare_inputs_for_generation * add activation_dropout and scale_embedding * replace fsmt attention with bart attention * added test * run make fix-copies * doc init and fix build * updated README with proper information * 1. added tips to docs 2. updated BioGptTokenizer func * 1. added tokenizer test 2. refactor tokenizer * make fixup * add biogpt fairseq to hf converter * updated layer names more similar to original checkpoints * config update doc string and set defaults * added "#copied" from bart model and updated doc strings * enable model_input_names in tokenizer * 1. positionalembedding depending on attention_mask 2. added attention mask to prepare for generation * added test to verify past and generation * BioGptLMHeadModel -> BioGptForCausalLM * fix typo * tokenization and test Copyright and updated assertion * updated Copyright and one func at time in line * Copyright updates and minor doc fix * replace assertion with ValueError * rm extra space * added code syntax * revert cmnt position change * add tokenizer to auto * updated doc string * tokenizer doc string update * biogpt hub model update to microsoft/biogpt * make fixup * rm cmnt to fix flake8 5.0.4 vs 6 error
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- 02 Dec, 2022 1 commit
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fatih authored
* init timesformer * apply fix-copies * reformat style * revert back some incoorect style updates * init timesformer * apply fix-copies * reformat style * revert back some incoorect style updates * update timseformer doc * add some functions and classes * add new config params * implement multiple classes * update TimeSformerLayer * update TimeSformerModel, TimeSformerPreTrainedModel, TimeSformerEncoder * several fixes * reformat * temporary update * fix some typos * fix weight converter * more fixes * fix a typo * fix typo * remove redundant params * fix for latest hf-hub * merge fix * fix some checks * video classification works with einops * add paper info to docs * merge fix * remove redundant line * remove redundant docstring * update config * fix some typos * fix converter * update some test constants * refactor einops functions * reformat * fix a comment * remove redundat imports * reformat * fix a typo * remove comment * remove unused imports * remove redundant doc line * reformat * add missing line * fix docs * fix timesformer auto feat ext * add unittests * reformat * fix docs * some fixes and updates * fix readme * fix modeling * fix readme * update index * revert _toctree.yml changes * update timseformer.mdx * update drop_path_prob to drop_path_rate * add dosctring for drop_path_rate * update TimeSformerPatchEmbed naming * remove to_2tuple * explicit use of nn.functional * reformat * many updates from review comments * fix a typo * reformat * remove assert, better variable name * make variable names more explicit * add some adapted from * more explicit variable names * remove redundant docstring * fix initilaization * move permute inside embedding * update class names * remove unused imports * add test for video classification * update PretrainedModel with PreTrainedModel * remove double permute * update based on sylvain's review * aply auto fix * update image_processing_auto for timesformer * update hub urls * reformat * remove duplicate import * update doc link
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- 01 Dec, 2022 1 commit
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Sylvain Gugger authored
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- 30 Nov, 2022 1 commit
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Yang An authored
* init chinese-clip model from clip * init model tests and docs * implement chinese-clip into hf * implement chinese-clip into hf * implement chinese-clip into hf * implement chinese-clip into hf * implement chinese-clip into hf * update usecase example in model implementation * fix codestyle * fix model_type typo in readme * add placeholder in doc * add placeholder in doc * update the init script * update usecase * fix codestyle * update testcase * update testcase * update testcase * update testcase * update testcase * update testcase * update testcase * update testcase * update testcase * update testcase * update testcase * update testcase * forward the convert_rgb * update testcase * update testcase * update testcase * merge the recent update from clip about model_input_name property * update the doc * update the doc * update the doc * update the doc * remove unused imports * reformat code style * update the doc * fix isort style * bypass a weird failed unit test which is unrelated with my PR * update the doc * implement independent vision config class * implement independent vision model class * fix refactor bug * fix refactor bug * fix refactor bug * make style * fix refactor bug * make style * fix refactor bug * fix refactor bug * make style * fix refactor bug * fix refactor bug * doc-build restyle * implement independent text config class * implement independent text model class * implement independent text model class * make style * make fix-copies * fix refactor bug * fix refactor bug * fix refactor bug * fix refactor bug * fix refactor bug * fix refactor bug * fix refactor bug * fix refactor bug * fix refactor bug * fix refactor bug * make style * update doc * black and isort * update doc * Update src/transformers/models/chinese_clip/configuration_chinese_clip.py Co-authored-by:
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- 21 Nov, 2022 3 commits
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NielsRogge authored
* First draft * Make conversion script work * Add id2label mapping, run code quality * Fix copies * Add first draft of feature extractor * Update conversion script to use feature extractor * Make more tests pass * Add docs * update input_features to input_values + pad by default to max length * Fix doc tests * Add feature extractor tests * Add proper padding/truncation to feature extractor * Add support for conversion of all audioset checkpoints * Improve docs and extend conversion script * Fix README * Rename spectogram to spectrogram * Fix copies * Add integration test * Remove dummy conv * Update to ast * Update organization * Fix init * Rename model to AST * Add require_torchaudio annotator * Move import of ASTFeatureExtractor under a is_speech_available * Fix rebase * Add pipeline config * Update name of classifier head * Rename time_dimension and frequency_dimension for clarity * Remove print statement * Fix pipeline test * Fix pipeline test * Fix index table * Fix init * Fix conversion script * Rename to ForAudioClassification * Fix index table Co-authored-by: -
Matthijs Hollemans authored
* add model files etc for MobileNetV2 rename files for MobileNetV1 initial implementation of MobileNetV1 fix conversion script cleanup write docs tweaks fix conversion script extract hidden states fix test cases make fixup fixup it all remove main from doc link fixes fix tests fix up use google org fix weird assert * fixup * use google organization for checkpoints
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Raj Rajhans authored
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- 18 Nov, 2022 1 commit
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Ali Hassani authored
* Add DiNAT * Adds DiNAT + tests * Minor fixes * Added HF model * Add natten to dependencies. * Cleanup * Minor fixup * Reformat * Optional NATTEN import. * Reformat & add doc to _toctree * Reformat (finally) * Dummy objects for DiNAT * Add NAT + minor changes Adds NAT as its own independent model + docs, tests Adds NATTEN to ext deps to ensure ci picks it up. * Remove natten from `all` and `dev-torch` deps, add manual pip install to ci tests * Minor fixes. * Fix READMEs. * Requested changes to docs + minor fixes. * Requested changes. * Add NAT/DiNAT tests to layoutlm_job * Correction to Dinat doc. * Requested changes.
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- 15 Nov, 2022 1 commit
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Younes Belkada authored
* first commit * add more comments * add router v1 * clean up - remove `tf` modeling files * clean up - remove `tf` modeling files * clean up * v0 routers * added more router - Implemented `ExpertsChooseMaskedRouter` - added tests - 2 more routers to implement * last router * improved docstring - completed the docstring in `router.py` - added more args in the config * v0 sparse mlp * replace wrong naming * forward pass run * update MOE layer * small router update * fixup * consistency * remove scatter router * remove abstract layer * update test and model for integration testing * v1 conversion * update * hardcode hack * all keys match * add gin conversion, without additional libraries * update conversion sctipy * delete router file * update tests wrt router deletion * fix router issues * update expert code * update, logits match, code needsREFACTORING * Refactor code Co-authored-by:
Younes Belkada <younesbelkada@users.noreply.github.com> * add generate tests Co-authored-by:
Arthur Zucker <arthur.zucker@gmail.com> Co-authored-by:
ybelkada <younes@huggingface.co> Co-authored-by:
Arthur Zucker <arthur@huggingface.co>
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- 14 Nov, 2022 1 commit
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Matthijs Hollemans authored
* add model files etc for MobileNetV2 * rename files for MobileNetV1 * initial implementation of MobileNetV1 * fix conversion script * cleanup * write docs * tweaks * fix conversion script * extract hidden states * fix test cases * make fixup * fixup it all * rename V1 to V2 * fix checkpoints * fixup * implement first block + weight conversion * add remaining layers * add output stride and dilation * fixup * add tests * add deeplabv3+ head * a bit of fixup * finish deeplab conversion * add link to doc * fix issue with JIT trace in_height and in_width would be Tensor objects during JIT trace, which caused Core ML conversion to fail on the remainder op. By making them ints, the result of the padding calculation becomes a constant value. * cleanup * fix order of models * fix rebase error * remove main from doc link * add image processor * remove old feature extractor * fix converter + other issues * fixup * fix unit test * add to onnx tests (but these appear broken now) * add post_process_semantic_segmentation * use google org * remove unused imports * move args * replace weird assert
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- 10 Nov, 2022 1 commit
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Arthur authored
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- 08 Nov, 2022 2 commits
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Weiwe Shi authored
* add roc_bert * update roc_bert readme * code style * change name and delete unuse file * udpate model file * delete unuse log file * delete tokenizer fast * reformat code and change model file path * add RocBertForPreTraining * update docs * delete wrong notes * fix copies * fix make repo-consistency error * fix files are not present in the table of contents error * change RocBert -> RoCBert * add doc, add detail test Co-authored-by:weiweishi <weiweishi@tencent.com>
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NielsRogge authored
* Add first draft * Update conversion script * Improve conversion script * Improve conversion script some more * Add conditional embeddings * Add initial decoder * Fix activation function of decoder * Make decoder outputs match original implementation * Make decoder outputs match original implementation * Add more copied from statements * Improve model outputs * Fix auto tokenizer file * Fix more tests * Add test * Improve README and docs, improve conditional embeddings * Fix more tests * Remove print statements * Remove initial embeddings * Improve conversion script * Add interpolation of position embeddings * Finish addition of interpolation of position embeddings * Add support for refined checkpoint * Fix refined checkpoint * Remove unused parameter * Improve conversion script * Add support for training * Fix conversion script * Add CLIPSegFeatureExtractor * Fix processor * Fix CLIPSegProcessor * Fix conversion script * Fix most tests * Fix equivalence test * Fix README * Add model to doc tests * Use better variable name * Convert other checkpoint as well * Update config, add link to paper * Add docs * Update organization * Replace base_model_prefix with clip * Fix base_model_prefix * Fix checkpoint of config * Fix config checkpoint * Remove file * Use logits for output * Fix tests Co-authored-by:
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- 04 Nov, 2022 1 commit
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Matt authored
* Update READMEs for ESMFold and add notebooks * Fix PyCharm formatting * make fix-copies
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- 01 Nov, 2022 2 commits
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Ikko Ashimine authored
* Add japanese translated README.md * Add README_ja.md link * Add japanese transkate to check_copies.py * Add guide to Japanese README.md * Update README_ja.md Co-authored-by:
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Sylvain Gugger authored
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- 26 Oct, 2022 2 commits
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Younes Belkada authored
* add `flan-t5` documentation page * Update README.md Co-authored-by:
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Kaylee L. Davis authored
swap "right" and "left" so description is correct.
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- 18 Oct, 2022 1 commit
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NielsRogge authored
* First draft * Add conversion script * Make conversion work * Upload checkpoints * Add final fixes * Revert changes of conditional and deformable detr * Fix toctree, add and remove copied from * Use model type * Improve docs * Improve code example * Update copies * Add copied formt * Don't update conditional detr * Don't update deformable detr
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- 17 Oct, 2022 2 commits
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Spacefish authored
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Shreem Asati authored
install->installation
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