* Simplify and update trl examples
* Remove optim_args from SFTConfig in Trainer documentation
* Update docs/source/en/trainer.md
* Apply suggestions from code review
* Update docs/source/en/trainer.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
---------
Co-authored-by: Quentin Gallouédec <qgallouedec@Quentins-MacBook-Pro.local>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Moved the sources to the right
* small Changes
* Some Changes to moonshine
* Added the install to pipline
* updated the monshine model card
* Update docs/source/en/model_doc/moonshine.md
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* Update docs/source/en/model_doc/moonshine.md
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* Update docs/source/en/model_doc/moonshine.md
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* Update docs/source/en/model_doc/moonshine.md
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* Update docs/source/en/model_doc/moonshine.md
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* Updated Documentation According to changes
* Fixed the model with the commits
* Update moonshine.md
* Update moshi.md
---------
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Co-authored-by: Your Name <sohamprabhu@Sohams-MacBook-Air.local>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* remove it from all py files
* remove it from the doc
* remove it from examples
* style
* remove traces of _fast_init
* Update test_peft_integration.py
* CIs
* Update Pegasus model card
* Fix transformers-cli command
* Update code examples to use bfloat16
* Reverted code examples to use float16
* Fix typo, update checkpoints link
* Update str formatting in code examples
* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Fix typo
* Remove inaccurate badges
* Revert badge removal
* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Include cache_implementation argument in quantization example
---------
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* adding model and conversion scripts
* add imports to test vjepa conversion
* fix imports and make conversion work
* fix computation for short side
* replace attention with library attention function
* cleanup more attention classes
* remove config overrides
* add test cases, fix some of the failing ones
* fix the model outputs
* fix outputs of the model per review
* fix too big model test case
* fix styling __init__.py
* fix initialization test
* remove all asserts per review
* update sorting unsorting logic as per feedback
* remove is_video per review
* remove another is_video segment
* remove unwanted stuff
* small fixes
* add docstrings for the model
* revert adding vjepa2 config here
* update styling
* add config docstrings (wip)
* fix dpr issue
* removed test failing issues
* update styles
* merge predictor configs into main config
* remove processing code, add video processor
* remove permute which is not necessary now
* fix styles
* updated vjepa2 to be in video_processing_auto
* update comment for preprocessing
* test integration test and fix the outputs
* update test values, change test to look at repeated frames for a given image
* add a simple video processing test
* refactoring pixel_values_videos and upload ckpts to original
* fix torch_fx test cases
* remove unused config
* add all config docstrings
* add more integration tests
* add basic doc
* revert unwanted styling changes
* working make fixup
* Fix model_type in config
* update attention implementation to fit new hf standards
* fix the preprocessing logic, ensure it matches the original model
* remove use_rope logic, cleanup
* fix docstrings
* Further cleanup, update doc
* Fix model prefix
* fix get_vision_features
* VJEPA2Embeddings style refactor
* nit, style comment
* change modules default values
* Only `str` activation in config
* GradientCheckpointingLayer
* fixup
* fix conversion script
* Remove return_dict
* remove None return typehint
* Refactor VJEPA2Layer, remove use_SiLU
* Fix fx tests
* dpr -> drop_path_rates
* move *ModelOutput on top
* format docs bit
* update docs
* update docs
* update doc example
* remove prune_heads from model
* remove unused config params
* refactor embed signature
* Add vjepa to docs
* Fix config docstring
* update defaults
* Update docs/source/en/model_doc/vjepa2.md
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* Update docs/source/en/model_doc/vjepa2.md
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
* Fix import
* Min refactoring
* Update HUB_SOURCE and HUB_REPO in conversion script
* Add missing headers
* VJEPA -> V-JEPA in docs
* Add image to doc
* fix style
* fix init weights
* change checkpoint name in modeling tests
---------
Co-authored-by: Koustuv Sinha <koustuv.sinha@mail.mcgill.ca>
Co-authored-by: yonigozlan <yoni.gozlan@huggingface.co>
Co-authored-by: Yoni Gozlan <74535834+yonigozlan@users.noreply.github.com>
Co-authored-by: Koustuv Sinha <koustuvsinha@gmail.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
* Updated BERTweet model card.
* Update docs/source/en/model_doc/bertweet.md
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* Update docs/source/en/model_doc/bertweet.md
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* Update docs/source/en/model_doc/bertweet.md
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* Update docs/source/en/model_doc/bertweet.md
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* updated toctree (EN).
* Updated BERTweet model card.
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* Update docs/source/en/model_doc/bertweet.md
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* updated toctree (EN).
* Updated BERTweet model card.
* Update docs/source/en/model_doc/bertweet.md
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* Update docs/source/en/model_doc/bertweet.md
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* Update docs/source/en/model_doc/bertweet.md
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* Update docs/source/en/model_doc/bertweet.md
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* updated toctree (EN).
* Commit for new_gpt_model_card.
* Update docs/source/en/model_doc/gpt_neo.md
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* commit for new canine model card.
* Update docs/source/en/model_doc/canine.md
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* Update docs/source/en/model_doc/canine.md
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* Update docs/source/en/model_doc/canine.md
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* Update docs/source/en/model_doc/canine.md
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* implemented suggestion by @stevhliu.
* Update canine.md
---------
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* Created model card for xlm-roberta-xl
* Update XLM-RoBERTa-XL model card with improved descriptions and usage examples
* Minor option labeling fix
* Added MaskedLM version of XLM RoBERTa XL to model card
* Added quantization example for XLM RoBERTa XL model card
* minor fixes to xlm roberta xl model card
* Minor fixes to mask format in xlm roberta xl model card
* Update XLM-RoBERTa model documentation with enhanced usage examples and improved layout
* Added CLI command example and quantization example for XLM RoBERTa model card.
* Minor change to transformers CLI and quantization example for XLM roberta model card
* Created model card for XLM model
* Revised model card structure and content of XLM model
* Update XLM model documentation with improved examples and code snippets for predicting <mask> tokens using Pipeline and AutoModel.
* Fix typo in LLaVa documentation
In exactly one section, LlavaImageProcessor was spelt wrongly as LLavaImageProcessor, which throws off copy-pasting the section.
* Fix LlavaImageProcessor url to make it valid (and copypaste-able)
Earlier, the URL contained the entire HF prefix. This commit removes that to ensure that the code block can be copied and run as is.
* added fast image processor for ZoeDepth and expanded tests accordingly
* added fast image processor for ZoeDepth and expanded tests accordingly, hopefully fixed repo consistency issue too now
* final edits for zoedept fast image processor
* final minor edit for zoedepth fast imate procesor
* Updated BERTweet model card.
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* Update docs/source/en/model_doc/bertweet.md
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* updated toctree (EN).
* Updated BERTweet model card.
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* updated toctree (EN).
* Updated BERTweet model card.
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* Update docs/source/en/model_doc/bertweet.md
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* updated toctree (EN).
* Commit for new_gpt_model_card.
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---------
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* feat: add colqwen2 (wip)
* tests: fix test_attention_outputs
* tests: reduce hidden size to accelerate tests
* tests: fix `test_attention_outputs` 🥳
* fix: fix wrong parent class for `ColQwen2ForRetrievalOutput`
* fix: minor typing and style changes
* chore: run `make style`
* feat: remove redundant `max_num_visual_tokens` attribute in `ColQwen2Processor`
* tests: tweak comments
* style: apply ruff formatter
* feat: move default values for `visual_prompt_prefix` and `query_prefix`
* docs: update ColQwen2 model card
* docs: tweak model cards
* docs: add required example config checkpoint
* tests: update expected scores in integration test
* docs: tweak quickstart snippets
* fix: address PR comments
* tests: fix colqwen2 tests + tweak comment in colpali test
* tests: unskip useful tests
* fix: fix bug when `visual_prompt_prefix` or `query_prefix` is an empty string
* fix: fix ColPali outputs when `return_dict == False`
* fix: fix issue with PaliGemma output not being a dict
* docs: set default dtype to bfloat16 in quickstart snippets
* fix: fix error when `return_dict=False` in ColPali and ColQwen2
* tests: fix special tokens not being replaced in input_ids
* style: fix lint
* fix: `ColQwen2Processor`'s `padding_side` is now set from `processor_config.json`
* fix: remove unused `padding_side` in ColQwen2 model
* docs: update ColQwen2's model doc
* fix: fix harcoded vlm backbone class in ColQwen2Config
* fix: remove `padding_side` from ColQwen2Processor as should fed from kwargs
* docs: fix typo in model docstring
* docs: add illuin mention in model docs
* fix: let `padding_size` be handled by `tokenizer_config.json`
* docs: add colpali reference url in colqwen2's model doc
* docs: add Hf mention in model docs
* docs: add late interaction mention in model docs
* docs: tweak colqwen2 model doc
* docs: update reference checkpoint for ColPali to v1.3
* docs: simplify quickstart snippets
* docs: remove redundant `.eval()`
* refactor: use `can_return_tuple` decorator for ColPali and ColQwen2
* docs: fix copyright date
* docs: add missing copyright in tests
* fix: raise error when `initializer_range` is not in config
* docs: remove redundant `.eval()` in colpali doc
* fix: fix `get_text_config` now that Qwen2VL has a proper `text_config` attribute
See https://github.com/huggingface/transformers/pull/37268 for details about changes in Qwen2VL's config.
* fix: add missing `initializer_range` attribute in `ColQwen2Config`
* fix: use `get_text_config` in `resize_token_embeddings`
* update colwen2 with auto_docstring
* docs: fix wrong copyright year
* chore: remove `raise` as `initializer_range` has a default value in `ColQwen2Config`
* refactor: merge `inner_forward` into `forward`
* Refactor colqwen2 after refactoring of qwen2VL, use modular for modeling code
* protect torch import in modular to protect in processing
* protect torch import in modular to protect in processing
* tests: fix hf model path in ColQwen2 integration test
* docs: clarify `attn_implementation` and add comments
* docs: add fallback snippet for using offline PIL dummy images
* docs: temporarily revert attn_implementation to `None` while sdpa is not fixed
* docs: tweaks in colpali/colqwen2 quick start snippets
* fix: add missing flags to enable SDPA/Flex Attention in ColQwen2 model
* fix: add missing changes in modular file
* fix modeling tests
---------
Co-authored-by: yonigozlan <yoni.gozlan@huggingface.co>
* Update vit_mae.md
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* Update model_doc/vit_mae.md
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* Updated the Model docs - for the ALIGN model
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* Update docs/source/en/model_doc/align.md
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* Updated align.md
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* Update align.md
* fix
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* Updated OLMo2 model card
* added command line
* Add suggestions
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* Added suggestions
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* Indented code block as per suggestions
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* Update granite.md
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* update granite.md
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* minor fixes
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* Modified BART documentation wrt to issue #36979.
* Modified BART documentation wrt to issue #36979.
* fixed a typo.
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* Update docs/source/en/model_doc/bart.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/model_doc/bart.md
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* Update docs/source/en/model_doc/bart.md
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* Update docs/source/en/model_doc/bart.md
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* Update docs/source/en/model_doc/bart.md
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* blank commit.
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Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Updated BERTweet model card.
* Update docs/source/en/model_doc/bertweet.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/model_doc/bertweet.md
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* Update docs/source/en/model_doc/bertweet.md
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* Update docs/source/en/model_doc/bertweet.md
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* Update docs/source/en/model_doc/bertweet.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/model_doc/bertweet.md
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* Update docs/source/en/model_doc/bertweet.md
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* updated toctree (EN).
* Updated BERTweet model card.
* Update docs/source/en/model_doc/bertweet.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/model_doc/bertweet.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/model_doc/bertweet.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/model_doc/bertweet.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/model_doc/bertweet.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/model_doc/bertweet.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/model_doc/bertweet.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* updated toctree (EN).
* Updated BERTweet model card.
* Update docs/source/en/model_doc/bertweet.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/model_doc/bertweet.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/model_doc/bertweet.md
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* Update docs/source/en/model_doc/bertweet.md
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* Update docs/source/en/model_doc/bertweet.md
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* Update docs/source/en/model_doc/bertweet.md
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* Update docs/source/en/model_doc/bertweet.md
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* updated toctree (EN).
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Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Updated BigBird Model card as per #36979.
* Update docs/source/en/model_doc/big_bird.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/model_doc/big_bird.md
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* Update docs/source/en/model_doc/big_bird.md
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* Update docs/source/en/model_doc/big_bird.md
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Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* update model page.
* update model page.
* Update docs/source/en/model_doc/mamba2.md
Co-authored-by: Anton Vlasjuk <73884904+vasqu@users.noreply.github.com>
* update the model page.
* update.
* Apply suggestions from code review
Co-authored-by: Anton Vlasjuk <73884904+vasqu@users.noreply.github.com>
* Apply the suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* add an quantization example and update the toctree.
* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* remove the additional comma
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Co-authored-by: Anton Vlasjuk <73884904+vasqu@users.noreply.github.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update roformer model card
* fix example purpose description
* fix model description according to the comments
* revert changes for autodoc
* remove unneeded tags
* fix review issues
* fix hfoption
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Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* docs(swinv2): Update SwinV2 model card to new standard format
* docs(swinv2): Apply review suggestions
Incorporates feedback from @stevhliu to:
- Enhance the introductory paragraph with more details about scaling and SimMIM.
- Generalize the tip from "image classification tasks" to "vision tasks".
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
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Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update BioGPT model card
* Update docs/source/en/model_doc/biogpt.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/model_doc/biogpt.md
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* Update docs/source/en/model_doc/biogpt.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/model_doc/biogpt.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/model_doc/biogpt.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/model_doc/biogpt.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/model_doc/biogpt.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/model_doc/biogpt.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/model_doc/biogpt.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/model_doc/biogpt.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/model_doc/biogpt.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* correction for CPU fallback
* added quantization code and method
* fixed transformers-cli call
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Co-authored-by: Aguedo <aguedo@fakeemail.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* starting attn refactor for encoder decoder models via bart (eager + sdpa)
* flash attention works, remove unnecessary code
* flex attention support for bart!, gotta check if the renaming is not too aggressive
* some comments
* skip flex grad test for standalone as done with the other test
* revert flex attn rename (for now), sdpa simplify, and todos
* more todos
* refactor mask creation for reuse
* modular attempt at biogpt
* first batch of other models
* fix attn dropout
* fix autoformer copies
* hubert
* another batch of models
* copies/style + last round of bart models --> whisper next?
* remove unnecessary _reshape function and remove copy to whisper
* add skip for decoder-only models out of enc-dec (same as in bart)
* bring back licences
* remove comment, added to pr read instead
* mostly docs
* disable sew flex attn as it's unclear attn mask for now
* oops
* test fixes for enc-dec
* torch fx fixes + try at flex attn
* skip on mbart
* some more fixes
* musicgen skip / delete old attn class logic + sdpa compose compile skip
* disable flex attn for musicgen, not worth the effort
* more fixes and style
* flex attention test for dropout and encoder decoder that dont have main input names
* informer fixes
* the weirdest thing I've encountered yet...
* style
* remove empty tensor attempt, found core root in previous commits
* disable time series due to tests being very text centric on inputs
* add speech to text to be ignoring the other attns, also due to tests
* update docs
* remaining issues resolved ?
* update docs for current state --> nllb moe and pegasus x sdpa is questionable :D
* some models have not set the is_causal flag...
* change dtype in softmax tol old behaviour + some modular fixes
* I hate it but it is what it is
* fixes from main for bart
* forgot this one
* some model fixes
* style
* current status
* marian works now
* fixing some copies
* some copy fixes + time series x informer
* last models possibly and fixes on style/copies
* some post merge fixes
* more fixes
* make attention interface callable and move warnings there
* style lol
* add comment to "unsupported"
* remove callable interface and change interface warnings + some copies
* fix
* ternary is ugly af, make it simpler
* how did that happen
* fix flex attn test
* failing the test
* no more fallback! fixing copies next
* style + attn fixed
* fixing copies and mask creation
* wrong copy
* fixup tests and disable flex attn for now
* fixup last tests?
* docs(swin): Update Swin model card to standard format
* docs(swin): Refine link to Microsoft organization for Swin models
Apply suggestion from @stevhliu in PR #37628.
This change updates the link pointing to the official Microsoft Swin Transformer checkpoints on the Hugging Face Hub.
The link now directs users specifically to the Microsoft organization page, filtered for Swin models, providing a clearer and more canonical reference compared to the previous general search link.
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* docs(swin): Clarify padding description and link to backbone docs
Apply suggestion from @stevhliu in PR #37628.
This change introduces two improvements to the Swin model card:
1. Refines the wording describing how Swin handles input padding for better clarity.
2. Adds an internal documentation link to the general "backbones" page when discussing Swin's capability as a backbone model.
These updates enhance readability and improve navigation within the Transformers documentation.
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* docs(swin): Change Swin paper link to huggingface.co/papers as suggested
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
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Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* update model card.
* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* update quantization example.
* update example.
* update
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Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* _get_padding_size module
* do not patchify images when processing multi image
* modify llava onevision image processor fast
* tensor to list of tensors
* backward compat
* reuse pad_to_square in llave & some clarification
* add to doc
* fix: consider no image cases (text only or video)
* add integration test
* style & repo_consistency
* add seq_idx and fa kwargs
* update tests
* docs and grad ckpt support
* fmt
* better names
* test_raise_missing_padding_free_kwarg_errs
* + seq_idx in doc strings
* padding free training docs
* add link to pr plots
* raise err on attn_mask with padding free
* rm raising missing padding free err test
* BambaFlashAttentionKwargs
* run modular util for modular_granitemoehybrid.py
* init vilt image processor fast
* Refactor image processor tests to use loop for all processors
* Add ViltImageProcessorFast with PyTorch-based optimized image processing
* Change made automatically by make fixup command
* Change made automatically by make fix-copies command
* Fix type hints in ViltImageProcessorFast for Python compatibility
* Define constants for image resizing based on COCO dataset aspect ratio
* Add missing property initializations to ViltImageProcessorFast
* Extract resize logic into dedicated method in ViltImageProcessorFast
* Extract padding logic into dedicated method
* Implement shape-based image grouping for optimized processing in Vilt
* Update test suite to verify ViltImageProcessorFast attributes
* Move variable declarations to _preprocess method parameters
* Remove unused parameters
* Rename _resize method to resize to override existing function
* Remove whitespace
* Remove unnecessary type check and conversion for stacked_images
* Remove redundant loop and apply padding directly to stacked images
* Refactor pad function to return images and mask as tuple instead of dict
* Add tests comparing padding masks in slow and fast implementations
* Update ViltImageProcessor tests to ensure compatibility between slow and fast implementations
* Replace add_start_docstrings with auto_docstring in ViltImageProcessorFast
* Move docstrings of custom args to ViltFastImageProcessorKwargs
* Use reorder_images function for both masks and images
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Co-authored-by: Yoni Gozlan <74535834+yonigozlan@users.noreply.github.com>
