- 18 Jul, 2023 1 commit
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NielsRogge authored
* First draft * More improvements * Convert patch embedding layer * Convert all weights * Make conversion work * Improve conversion script * Fix style * Make all tests pass * Add image processor to auto mapping * Add swiglu ffn * Add image processor to conversion script * Fix conversion of giant model * Fix documentation * Fix style * Fix tests * Address comments * Address more comments * Remove unused arguments * Remove more arguments * Rename parameters * Include mask token * Address comments * Add docstring * Transfer checkpoints * Empty commit
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- 11 Jul, 2023 2 commits
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Jegor Kitškerkin authored
* Add model * Add ability to get classification head weights * Add docs * Add imports to __init__.py * Run style * Fix imports and add mdx doc * Run style * Fix copyright * Fix config docstring * Remove imports of ViViTLayer and load_tf_weights_in_vivit * Remove FeatureExtractor and replace with ImageProcessor everywhere * Remove ViViTForPreTraining from vivit.mdx * Change ViViT -> Vivit everywhere * Add model_doc to _toctree.yml * Replace tuples with lists in arguments of VivitConfig * Rename patch_size to tubelet_size in TubeletEmbeddings * Fix checkpoint names * Add tests * Remove unused num_frames * Fix imports for VivitImageProcessor * Minor fixes * Decrease number of frames in VivitModelTester from 32 to 16 * Decrease number of frames in VivitModelTester from 16 to 8 * Add initialization for pos embeddings * Rename Vivit -> ViViT in some places * Fix docstring and formatting * Rename TubeletEmbeddings -> VivitTubeletEmbeddings * Remove load_tf_weights_in_vivit * Change checkpoint name * Remove Vivit _TOKENIZER_FOR_DOC * Fix * Fix VivitTubeletEmbeddings and pass config object as parameter * Use image_size and num_frames instead of video_size * Change conversion script and fix differences with the orig implementation * Fix docstrings * Add attention head pruning * Run style and fixup * Fix tests * Add ViViT to video_classification.mdx * Save processor in conversion script * Fix * Add image processor test * Run fixup and style * Run fix-copies * Update tests/models/vivit/test_modeling_vivit.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/vivit/test_modeling_vivit.py Co-authored-by:
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Matt authored
* Initial commit * Update src/transformers/models/falcon/configuration_falcon.py Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/falcon/configuration_falcon.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/falcon/modeling_falcon.py Co-authored-by:
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- 10 Jul, 2023 1 commit
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novice authored
* Add all files * Update masked_language_modeling.md * fix mlm models * fix conflicts * fix conflicts * fix copies * Apply suggestions from code review Co-authored-by:
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- 05 Jul, 2023 1 commit
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Rafael Padilla authored
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- 03 Jul, 2023 1 commit
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Arthur authored
* add tokenization template * update conversion script * update modeling code * update * update convert checkpoint * update modeling * revert changes on convert script * new conversion script for new format * correct position bias * cleaning a bit * Credit co authors Co-authored-by:
agemagician <ahmed.elnaggar@tum.de> Co-authored-by: stefan-it <> * styling * Add docq * fix copies * add co author * Other Author * Merge branch 'main' of https://github.com/huggingface/transformers into add-umt5 * add testing * nit * Update docs/source/en/model_doc/umt5.mdx Co-authored-by:
Stefan Schweter <stefan@schweter.it> * fix t5 * actual fix? * revert wrong changes * remove * update test * more fixes * revert some changes * add SPIECE_UNDERLINE * add a commone xample * upfate * fix copies * revert changes on t5 conversion script * revert bytefallback changes since there was no addition yet * fixup * fixup * ingore umt5 cutom testing folder * fix readmes * revertT5 changes * same outputs * fixup * update example * Apply suggestions from code review * style * draft addition of all new files * current update * fix attention and stuff * finish refactoring * auto config * fixup * more nits * add umt5 to init * use md format * Update README.md Co-authored-by:
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- 29 Jun, 2023 3 commits
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amyeroberts authored
* Removal of deprecated methods and specify versions * Fix tests
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Sanchit Gandhi authored
* Add Audiocraft * add cross attention * style * add for lm * convert and verify * introduce t5 * split configs * load t5 + lm * clean conversion * copy from t5 * style * start pattern provider * make generation work * style * fix pos embs * propagate shape changes * propagate shape changes * style * delay pattern: pad tokens at end * audiocraft -> musicgen * fix inits * add mdx * style * fix pad token in processor * override generate and add todos * add init to test * undo pattern delay mask after gen * remove cfg logits processor * remove cfg logits processor * remove logits processor in favour of mask * clean pos embs * make fix copies * update readmes * clean pos emb * refactor encoder/decoder * make fix copies * update conversion * fix config imports * update config docs * make style * send pattern mask to device * pattern mask with delay * recover prompted audio tokens * fix docstrings * laydown test file * pattern edge case * remove t5 ref * add processing class * config refactor * better pattern comment * check if mask is not present * check if mask is not present * refactor to auto class * remove encoder configs * fix processor * processor import * start updating conversion * start updating tests * make style * convert t5, encodec, lm * convert as composite * also convert processor * run generate * classifier free gen * comments and clean up * make style * docs for logit proc * docstring for uncond gen * start lm tests * work tests * let the lm generate * refactor: reshape inside forward * undo greedy loop changes * from_enc_dec -> from_sub_model * fix input id shapes in docstrings * Apply suggestions from code review Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> * undo generate changes * from sub model config * Update src/transformers/models/musicgen/modeling_musicgen.py Co-authored-by:
Joao Gante <joaofranciscocardosogante@gmail.com> * make decoder only tests work * composite fast tests * make style * uncond generation * feat extr padding * make audio prompt work * fix inputs docstrings * unconditional inputs: dict -> model output * clean up tests * more clean up tests * make style * t5 encoder -> auto text encoder * remove comments * deal with frames * fix auto text * slow tests * nice mdx * remove can generate * todo - hub id * convert m/l * make fix copies * only import generation with torch * ignore decoder from tests * don't wrap uncond inputs * make style * cleaner uncond inputs * add example to musicgen forward * fix docs * ignore MusicGen Model/ForConditionalGeneration in auto mapping * add doc section to toctree * add to doc tests * add processor tests * fix push to hub in conversion * tips for decoder only loading * Apply suggestions from code review Co-authored-by:
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amyeroberts authored
* Update old existing feature extractor references * Typo * Apply suggestions from code review * Apply suggestions from code review * Apply suggestions from code review * Address comments from review - update 'feature extractor' Co-authored by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>
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- 28 Jun, 2023 1 commit
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- 27 Jun, 2023 1 commit
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Sebastian authored
* Adding T5ForQuestionAnswering * Changed weight initialization that results in better initial loss when fine-tuning * Update to class variables * Running make fixup * Running make fix-copies * Remove model_parallel * Adding MT5ForQuestionAnswering * Adding docs * Fix wrong doc * Update src/transformers/models/mt5/modeling_mt5.py Co-authored-by:
Younes Belkada <49240599+younesbelkada@users.noreply.github.com> * Update src/transformers/models/t5/modeling_t5.py Co-authored-by:
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- 26 Jun, 2023 1 commit
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condor-cp authored
Add link to pytorch CrossEntropyLoss so that one understand why '-100' is ignore by the loss function.
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- 20 Jun, 2023 1 commit
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Sylvain Gugger authored
* Rename index.mdx to index.md * With saved modifs * Address review comment * Treat all files * .mdx -> .md * Remove special char * Update utils/tests_fetcher.py Co-authored-by:
Lysandre Debut <lysandre.debut@reseau.eseo.fr> --------- Co-authored-by:
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- 19 Jun, 2023 1 commit
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Ritesh Ghorse authored
fix model name path Co-authored-by:Ritesh Ghorse <riteshghorse@Riteshs-Air.attlocal.net>
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- 14 Jun, 2023 1 commit
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ByronHsu authored
* import torch before it is used * style Signed-off-by:
byhsu <byhsu@linkedin.com> --------- Signed-off-by:
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- 09 Jun, 2023 1 commit
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LiamSwayne authored
Update image_classification.mdx
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- 02 Jun, 2023 2 commits
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Matt authored
* Add an option to reduce compile() console spam * Add annotations to the example scripts * Add notes to the quicktour docs as well * minor fix
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Shehan Munasinghe authored
* generated code from add-new-model-like * Add code for modeling, config, and weight conversion * add tests for image-classification, update modeling and config * add code, tests for semantic-segmentation * make style, make quality, make fix-copies * make fix-copies * Update modeling_mobilevitv2.py fix bugs * Update _toctree.yml * update modeling, config fix bugs * Edit docs - fix bug MobileViTv2v2 -> MobileViTv2 * Update mobilevitv2.mdx * update docstrings * Update configuration_mobilevitv2.py make style * Update convert_mlcvnets_to_pytorch.py remove unused options * Update convert_mlcvnets_to_pytorch.py make style * Add suggestions from code review Co-Authored-By:
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- 24 May, 2023 1 commit
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Jungnerd authored
fix: delete duplicate sentence
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- 12 May, 2023 1 commit
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Shehan Munasinghe authored
* Commit the automatically generated code using add-new-model-like * Update description at swiftformer.mdx file * remove autogenerated code for MaskedImageModeling * update weight conversion scripts * Update modeling_swiftformer.py * update configuration_swiftformer.py * Update test_modeling_swiftformer.py * update modeling code - remove einops dependency * Update _toctree.yml * update modeling code - remove copied from comments * update docs * Revert "update docs" This reverts commit c2e05e2998fe2cd6eaee8b8cc31aca5222bac9fb. * update docs * remove unused reference SwiftFormerImageProcessor * update dependency_versions_table.py * update swiftformer.mdx * update swiftformer.mdx * change model output type - no attentions * update model org name * Fix typo * fix copies * Update tests/models/swiftformer/test_modeling_swiftformer.py Co-authored-by:
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- 10 May, 2023 1 commit
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Maria Khalusova authored
trainer parameters fixed
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- 09 May, 2023 1 commit
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Sylvain Gugger authored
* First draft of RWKV-4 * Add support for generate * Style post-rebase * Properly use state * Write doc * Fix doc * More math * Add model to README, dummies and clean config * Fix init * multiple fixes: - fix common tests - fix configuraion default values - add CI test for checking state computation - fix some CI tests * correct tokenizer * some tweaks - fix config docstring - fix failing tests * fix CI tests - add output_attention / output_hidden_states - override test_initialization - fix failing CIs * fix conversion script - fix sharded case - add new arguments * add slow tests + more fixes on conversion script * add another test * final fixes * change single name variable * add mock attention mask for pipeline to work * correct eos token id * fix nits * add checkpoints * Apply suggestions from code review Co-authored-by:
younesbelkada <younesbelkada@gmail.com> Co-authored-by:
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- 04 May, 2023 2 commits
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Maria Khalusova authored
* First draft * Some polishing * Text polishing * added TOC entry for TTS * make style * added links to images * fixed links to images * Apply suggestions from code review Co-authored-by:
Matthijs Hollemans <mail@hollance.com> --------- Co-authored-by:
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peter-sk authored
* first draft - gives index error in question_answering.py * maturing * no labels * pipeline should know about QA * fixing checks * formatting * fixed docstring * initial commit * formatting * adding the class to many places * towards less unhappy checks * nearly there * and gpt neox for qa * use right model * forgot this one * base_model_prefix is "gpt_neox" for GPTNeoX* models * unnecessary stuff * Update src/transformers/models/gpt_neox/modeling_gpt_neox.py Co-authored-by:
Prof. Peter Schneider-Kamp <jps@ordbogen.com> Co-authored-by:
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- 03 May, 2023 1 commit
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peter-sk authored
* first draft - gives index error in question_answering.py * maturing * no labels * pipeline should know about QA * fixing checks * formatting * fixed docstring * initial commit * formatting * adding the class to many places * towards less unhappy checks * nearly there * Update src/transformers/models/gpt_neo/modeling_gpt_neo.py Co-authored-by:
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- 02 May, 2023 1 commit
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peter-sk authored
* first draft - gives index error in question_answering.py * maturing * no labels * pipeline should know about QA * fixing checks * formatting * fixed docstring * make sure legacy code executes * comment * like this --------- Co-authored-by:
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- 01 May, 2023 1 commit
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Ashwin Mathur authored
* added BioGptForSequenceClassification * added source of copied code * typo * Format code with black * Update comments for copied code * Remove code copy comment * Apply suggestions from code review Co-authored-by:
Guillem García Subies <37592763+GuillemGSubies@users.noreply.github.com> Co-authored-by:
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- 28 Apr, 2023 1 commit
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s-JoL authored
* update Open-Llama model * update * update format * update doc * update * update stable embedding test * update test case * update format * update readme * fix typo * update name * remove tokenizer and update format * remove convert_open_llama_weights_to_hf * update warning and doc_string --------- Co-authored-by:songliang.bayesian <songliang.bayesian@bytedance.com>
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- 27 Apr, 2023 2 commits
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peter-sk authored
* added GPTNeoForTokenClassification * add to top-level init * fixup * test * more fixup * add to gpt_neo.mdx * repo consistency * dummy copy * fix copies * optax >= 0.1.5 assumes jax.Array exists - which it doesn't for jax <= 0.3.6 * merge with main made this superfluous * added classifier_dropout * remove legacy code * removed fmt:on/off removed expected_outputs * doc style fix * classifier_dropout is always in config --------- Co-authored-by: -
peter-sk authored
* initial commit * added GPTNeoXForTokenClassification * typo * doc fixed extra comma that turned into a tuple * unifying variable names fixing forward call * classifier_dropout is in config Co-authored-by:
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- 24 Apr, 2023 1 commit
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amyeroberts authored
* Update feature selection * Check compatibility with datasets version * Checkout from datasets main
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- 23 Apr, 2023 1 commit
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NielsRogge authored
Adds FocalNet by Microsoft to transformers --------- Co-authored-by:
Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> Co-authored-by:
alaradirik <alaradirik@gmail.com>
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- 14 Apr, 2023 1 commit
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Mayank Agarwal authored
* Fix word_ids hyperlink * Add suggested fix
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- 12 Apr, 2023 1 commit
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pioliverse authored
* resolve conflicts * rebase and make style * test * test * test * rebase and make style * rebase and make style * tests * tests * rewrite some functions * rebase and make style * fix load_tf_weights_in_cpmant * reformat some unrelated files * upgrade quality * fix some bugs & docstring * add models and tests * solve conflicts * resolve conflicts * resolve conflicts * resolve conflicts * resolve conflicts * tests * resolve conflicts * resolve conflicts * fix load_tf_weights_in_cpmant * reformat some unrelated files * upgrade quality * fix some bugs & docstring * save resolution * make style * delete redefinition code * reformat function * reformat * resolve conflicts * resolve conflicts * resolve conflicts * resolve conflicts * resolve conflicts * tests * resolve conflicts * resolve conflicts * fix load_tf_weights_in_cpmant * reformat some unrelated files * upgrade quality * resolve conflicts * resolve conflicts * resolve conflicts * resolve conflicts * resolve conflicts * fix load_tf_weights_in_cpmant * reformat some unrelated files * upgrade quality * resolve conflicts * make style * fix bugs and refactor * modify docstrings and make style * unify import format in __init__.py * fix import-altclp bug * fix copies to update index.md * fix unused config parameters * fix unused config parameters * fix unused config parameters * update README_ja.md * dummy commit for unit test * fix attention mask * add CPMAntTokenizer&-Fast to auto-mapping * drop redundant changes in README_ko * fix defaults in docstring * fix use_cache and some docstring * add missing args in tokenizer * modify tester inheritance * add is_jieba_available * fix some bugs * make style and fix-copies * add doctests * skip integration tests * add is_jieba_available * fix bugs in common tests * adjust docstrings and make style * add argument docstring * adjust code to some specifications * make style and fix-copies * add fast tokenization test * dummy commit for unit test * dummy commit for unit test * dummy commit for unit test * normalize some comments and names * Bert->CPMAnt * camel names and drop redundant codes * make style and fix-coies * add CpmTokenizerFast _import_structure * drop cpmanttokenizerfast in model_doc * fix some problems * fix CPMAnt tokenization for common test * make style and fixup * fix copies and fixup * fix bugs in tokenization test * dummy commit for connection failure in unittest * fix copies * drop trailing comma * fix decorator in tests * dummy commit for connection failure in unittest --------- Co-authored-by:Gong Baitao <gongbaitao11@gmail.com>
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- 10 Apr, 2023 2 commits
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Sugawara authored
* add GPTNeoXForSequenceClassification * move the labels to logits.device (ref: #22561) * fix
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Joel Lamy-Poirier authored
* Add model with cli tool * Remove unwanted stuff * Add new code * Remove inference runner * Style * Fix checks * Test updates * make fixup * fix docs * fix doc * fix test * hopefully fix pipeline tests * refactor * fix CIs * add comment * rename to `GPTBigCodeForCausalLM` * correct readme * make fixup + docs * make fixup * fixes * fixes * Remove pruning * Remove import * Doc updates * More pruning removal * Combine copies * Single MQA implementation, remove kv cache pre-allocation and padding * Update doc * Revert refactor to match gpt2 style * Merge back key and value caches, fix some type hints * Update doc * Fix position ids pith padding (PR 21080) * Add conversion script temporarily * Update conversion script * Remove checkpoint conversion * New model * Fix MQA test * Fix copies * try fix tests * FIX TEST!! * remove `DoubleHeadsModel` * add MQA tests * add slow tests * clean up * add CPU checker * final fixes * fixes - fix GPU issue - fixed slow tests - skip disk offload * fix final issue * Simplify and comment baddbmm fix * Remove unnecessary code * Transpose tweaks * Use beta=1 on cpu, improve tests --------- Co-authored-by:
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- 03 Apr, 2023 1 commit
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Mohammed Jabir authored
* added biogpt token classifier * fix reviews * Updated modeling_biogpt.py Co-authored-by:
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- 27 Mar, 2023 1 commit
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Arthur authored
* Initial commit * update modeling code * update doc * add functions necessary * fix impotrs * revert changes * fixup * more styling to get going * remove standalone encoder * update code * styling * fix config and model * update code and some refactoring * make more tests pass * Adding NLLB-200 - MoE - 54.5B for no language left behind Fixes #21300 * fix mor common tests * styke * update testing file * update * update * Router2 doc * update check config with sparse layer * add dummy router * update current conversion script * create on the fly conversion script * Fixup * style * style 2 * fix empty return * fix return * Update default config sparse layers * easier to create sparse layers * update * update conversion script * update modeling * add to toctree * styling * make ruff happy * update docstring * update conversion script * update, will break tests but impelemting top2 * update *
❗ local groups are supported here *⚠ ️ Support for local groups is now removed⚠ ️ This is because it has to work with model parallelism that we do not support * finish simplificaiton * Fix forward * style * fixup * Update modelling and test, refactoring * update tests * remove final layer)norm as it is done in the FF * routing works! Logits test added * nit in test * remove top1router * style * make sure sparse are tested. Had to change route_tokens a liottle bit * add support for unslip models when converting * fixup * style * update test s * update test * REFACTOR * encoder outputs match! * style * update testing *🎉 encoder and decoder logits match🎉 * styleing * update tests * cleanup tests * fix router test and CIs * cleanup * cleanup test styling * fix tests * Finally the generation tests match! * cleanup * update test * style testing file * remove script * cleanup * more cleanup * nits * update * NLLB tokenizer is wrong and will be fixed soon * use LongTensors * update tests * revert some small changes * fix second expert sampling and batch prioritized routing * update tests * finish last tests * make ruff happy * update * ruff again * style * Update docs/source/en/model_doc/nllb-moe.mdx Co-authored-by:
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- 24 Mar, 2023 1 commit
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Mitch Naylor authored
* add mega file structure and plain pytorch version of mega source code * added config class with old naming conventions * filled in mega documentation * added config class and embeddings with optional token types * updated notes * starting the conversion process, deleted intermediate and added use_cache back to config * renamed config attributes in modeling_mega.py * checkpointing before refactoring incremental decoding functions * removed stateful incremental key/values for EMA and self-attention * refactored MovingAverageGatedAttention to remove stateful k/v history and use unified attention mask * MovingAverageGatedAttention works with incremental decoding + past values, added sequence length enforcement * more comments in MovingAverageGatedAttention + checkpointing before GatedCrossAttention * bug fix in attention mask handling in MovingAverageGatedAttention * removed incremental state from GatedCrossAttention and removed IncrementalState class * finished gated cross attention and got MegaLayer working * fixed causal masking in mega decoder * fixed how padding and causal masks are passed through MegaLayer with and without k/v caching * finished MegaModel; tested with encoder, decoder-only, and cross-attention type inputs; started work on downstream classes; removed mentions of position_ids * added optional dense hidden layer for masked and causal LM classes * docstring updates in MultiHeadEMA and GatedCrossAttention, removed unnecessary inputs in cross-attention * removed before_attn_fn in Mega class and updated docstrings and comments up to there * bug fix in MovingAverageGatedAttention masking * working conversion of MLM checkpoint in scratchpad script -- perfect matches * moved arg for hidden dense layer in LM head to config; discovered issue where from_pretrained is renaming gamma and beta parameters * renamed gamma and beta parameters to avoid HF renaming when loading from checkpoint * finished checkpoint conversion script * cleanup old class in mega config script * removed 'copied from' statements and passing integration tests * added num_attention_heads=1 to config for integration compatibility, decoder tests working, generation tests failing * fixed tuple output of megamodel * all common tests passing after fixing issues in decoder, gradient retention, and initialization * added mega-specific tests, ready for more documentation and style checks * updated docstrings; checkpoint before style fixes * style and quality checks, fixed initialization problem in float_tensor, ready for PR * added mega to toctree * removed unnecessary arg in megaconfig * removed unused arg and fixed code samples with leftover roberta models * Apply suggestions from code review Applied all suggestions except the one renaming a class, as I'll need to update that througout Co-authored-by:
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- 20 Mar, 2023 1 commit
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amyeroberts authored
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