"docs/vscode:/vscode.git/clone" did not exist on "c86aad611073da884b08343cef14ac51616912df"
- 20 May, 2024 8 commits
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Eric2i authored
* Fix similar bug in processor (related to #30193) * Reformat processing_git.py to comply with ruff formatting
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Goncalo Paulo authored
Fix num_hidden_layers in initialization Originally, the initialization was using config.num_layers instead of config.num_hidden_layers. This fixes that.
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Kamil Akesbi authored
* compute num_frames in WhisperFeatureExtractor * add return_num_frames in WhisperFeatureProcessor + adapt pipeline * return_timestamps renaming + pipeline fix * fix * fix * fix * add tests * Update src/transformers/models/whisper/feature_extraction_whisper.py Co-authored-by:
Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * apply review changes * fix * Update src/transformers/models/whisper/feature_extraction_whisper.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * make style quality * EXPECTED_OUTPUT in single line * small numpy->torch fix * fix --------- Co-authored-by:
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Donggeun Yu authored
Update modeling_deformable_detr.py
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Raushan Turganbay authored
* update docs with batch ex * Update docs/source/en/model_doc/llava_next.md Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * accept nested list of img --------- Co-authored-by:
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Benjamin Warner authored
* add torch.compile dynamic support * Add SDPA dynamic shapes compile test & improve SDPA comment * comment consistency
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Younes Belkada authored
* Update Dockerfile * Update docker/transformers-quantization-latest-gpu/Dockerfile
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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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- 17 May, 2024 10 commits
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Abhiroop Tejomay authored
* add interpolation of positional encoding support to swin * add style changes * use default image processor and make size a dictionary Co-authored-by:
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Arthur Zucker authored
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Pavel Iakubovskii authored
* Add resize and pad strategy * Merge get_size functions * Add pad_size + tests to object detection models * Fixup * Update docstrings * Fixup
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Arthur authored
* update release script * update release script
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Arthur authored
* Support arbitrary processor * fix * nit * update * nit * nit * fix and revert * add a small test * better check * fixup * bug so let's just use class for now * oups * .
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Sanchit Gandhi authored
* [whisper] fix multilingual fine-tuning * config ids as well
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Jacky Lee authored
* fix: missing dependencies * fix: image classification dependencies
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Darshana S authored
* added_no_split_modules * added LlavaNextVisionAttention to _no_split_modules
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amyeroberts authored
* Remove deprecated logic and warnings * Add back some code that seems to be important... * Let's just add all he nllb stuff back; removing it is a bit more involved * Remove kwargs * Remove more kwargs
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Younes Belkada authored
* add llama logits test * fix * fix tests " " * fix for a10 * format * format * fix * [run-slow] remove fmt: skip * Your commit message * test commit * Revert "test commit" This reverts commit b66e01e55f5e31d4c0479cac4bcacc0f123dc9d2. * [run-slow]llama * Update tests/models/llama/test_modeling_llama.py * [run-slow]llama * empty commit
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- 16 May, 2024 10 commits
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amyeroberts authored
* Fix VideoLlava imports * Update dummy objects
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Younes Belkada authored
Reverting to 2.2.1
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Joao Gante authored
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Raushan Turganbay authored
fix model id in docs
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Yih-Dar authored
* fix * [run-slow] gemma * add test * add `test_compile_static_cache` * fix * style * remove subprocess * use attribute * fix * style * update * [run-slow] dbrx,gemma,jetmoe,phi3,recurrent_gemma --------- Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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Mohit Sharma authored
* disable fa * disable fa * update warning * update warning
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Joao Gante authored
* jamba cache * new flag * generate exception
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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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NielsRogge authored
* First draft * Update docstring
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- 15 May, 2024 12 commits
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Edoardo Cetin authored
* Fix llama model forward function with attention=True, same-length encoded sequence. * Fix style * propagate fix to modeling_cohere, gemma, dbrx, and olmo (which copy the same sdpa masking logic from llama) * Fix style * ignore unnecessary sdpa mask converter when output_attentions=True * add tests checking sdpa and eager outputs match when output_attentions=True * Split if statements in two lines Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * Fix formatting * Add fix to new jetmoe model * Add missing output_attentions argument to jetmoe mask creation --------- Co-authored-by:
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Yih-Dar authored
2.3 Co-authored-by: -
Younes Belkada authored
* add method * change method name * more comments * Apply suggestions from code review Co-authored-by:
Marc Sun <57196510+SunMarc@users.noreply.github.com> Co-authored-by:
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amyeroberts authored
* Correctly set the moel name for the doc file * Fix up
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Xuan-Phi Nguyen authored
* Better llava next. - Batched forward with multiple image of different sizes (number of patches). - Support training, for cases without any image. - Support multi-image in same sequence. e.g: ["<image> <image> the first image is a dog while the second is a cat", "<image> <image> <image> <image> these 4 image are..."] Current limitation: - Haven't done testing - Only support right padding (for training) - left padding (batched generation) is not ready yet. - PR not ready. * fix bugs in batched generation * add tests * fix batch-gen bugs, left-padding positions and incorrect attention mask * remove better modeling llava * fix formatting * fix test * fix test * fix testing * fix test * fix formatting * Update src/transformers/models/llava_next/modeling_llava_next.py add clarity Co-authored-by:
NGUYEN, Xuan Phi <x.nguyen@alibaba-inc.com> Co-authored-by:
raushan <raushan@huggingface.co> Co-authored-by:
Raushan Turganbay <raushan.turganbay@alumni.nu.edu.kz>
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Sourab Mangrulkar authored
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xkszltl authored
The function checks for None in its first line.
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amyeroberts authored
* Jamba - Skip 4d custom attention mask test * Skip assistant greedy test
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Lysandre Debut authored
* Adds support for loading GGUF files Co-authored-by:
Younes Belkada <younesbelkada@gmail.com> Co-authored-by:
99991 <99991@users.noreply.github.com> * add q2_k q3_k q5_k support from @99991 * fix tests * Update doc * Style * Docs * fix CI * Update docs/source/en/gguf.md * Update docs/source/en/gguf.md * Compute merges * change logic * add comment for clarity * add comment for clarity * Update src/transformers/models/auto/tokenization_auto.py Co-authored-by:
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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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David authored
* removing heads for classification from DETR models. * quality fix
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Ond艡ej C铆fka authored
* Add support for mixing languages in a single batch * Update docstring * Enable different detected languages in batch * Do not require input_features * Test list of languages * Fix comment * Make init_tokens length-1 if possible, broadcast at the end * Test for ValueError with language list of incorrect length * Slow test for batched multilingual transcription * fixup * Apply suggestions from code review Co-authored-by:
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