* add working idefics2 fast and improvements for fast nested images processing
* add fast image processors idefics 3 and smolvlm
* cleanup tests
* fic doc idefics2
* PR review and fix issues after merge
* Force providing disable_grouping to group_images_by_shape
* simplify group_images_by_shape
* fix modular
* Fix nits after review
* feat: add flexible Liger Kernel configuration to TrainingArguments
Add support for granular Liger Kernel configuration through a new
`liger_kernel_config` parameter in TrainingArguments. This allows users
to selectively enable/disable specific kernels (rope, swiglu, cross_entropy,
etc.) instead of the current approach that rely on default configuration.
Features:
- Add `liger_kernel_config` dict parameter to TrainingArguments
- Support selective kernel application for all supported models
- Maintain full backward compatibility with existing `use_liger_kernel` flag
Example usage:
```python
TrainingArguments(
use_liger_kernel=True,
liger_kernel_config={
"rope": True,
"swiglu": True,
"cross_entropy": False,
"fused_linear_cross_entropy": True
}
)
Closes#38905
* Address comments and update Liger section in Trainer docs
* Update bamba model card
* Update the doc for bamba
* Update docs/source/en/model_doc/bamba.md
Bamba paragraph
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/model_doc/bamba.md
Bamba collection url
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/model_doc/bamba.md
Update Padding-Free Training to Notes heading
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/model_doc/bamba.md
update examples
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/model_doc/bamba.md
Update additional info
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/model_doc/bamba.md
consistent casing
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/model_doc/bamba.md
simplify sentences
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Include pipeline and cli examples + fix formatting
* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/model_doc/bamba.md
update cli id
* Update quantization example
* Fix auto code formatter changes
* Update cli command + include BambaModel
* Update docs/source/en/model_doc/bamba.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
---------
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update trocr.md
Docs: add community fine‑tuning notebook link to TrOCR page
* apply suggested changes from PR review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/model_doc/trocr.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
---------
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* No more Tuple, List, Dict
* make fixup
* More style fixes
* Docstring fixes with regex replacement
* Trigger tests
* Redo fixes after rebase
* Fix copies
* [test all]
* update
* [test all]
* update
* [test all]
* make style after rebase
* Patch the hf_argparser test
* Patch the hf_argparser test
* style fixes
* style fixes
* style fixes
* Fix docstrings in Cohere test
* [test all]
---------
Co-authored-by: ydshieh <ydshieh@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
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/model_doc/moonshine.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/model_doc/moonshine.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/model_doc/moonshine.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Updated Documentation According to changes
* Fixed the model with the commits
* Changes to the roc_bert
* Final Update to the branch
* Adds Quantizaiton to the model
* Finsihed Fixing the Roc_bert docs
* Fixed Moshi
* Fixed Problems
* Fixed Problems
* Fixed Problems
* Fixed Problems
* Fixed Problems
* Fixed Problems
* Added the install to pipline
* updated the monshine model card
* Update docs/source/en/model_doc/moonshine.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/model_doc/moonshine.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/model_doc/moonshine.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Updated Documentation According to changes
* Fixed the model with the commits
* Fixed the problems
* Final Fix
* Final Fix
* Final Fix
* Update roc_bert.md
---------
Co-authored-by: Your Name <sohamprabhu@Mac.fios-router.home>
Co-authored-by: Your Name <sohamprabhu@Sohams-MacBook-Air.local>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* init
* chore: various changes to LightGlue
* chore: various changes to LightGlue
* chore: various changes to LightGlue
* chore: various changes to LightGlue
* Fixed dynamo bug and image padding tests
* refactor: applied refactoring changes from SuperGlue's concat, batch and stack functions to LightGlue file
* tests: removed sdpa support and changed expected values
* chore: added some docs and refactoring
* chore: fixed copy to superpoint.image_processing_superpoint.convert_to_grayscale
* feat: adding batch implementation
* feat: added validation for preprocess and post process method to LightGlueImageProcessor
* chore: changed convert_lightglue_to_hf script to comply with new standard
* chore: changed lightglue test values to match new lightglue config pushed to hub
* chore: simplified convert_lightglue_to_hf conversion map
* feat: adding batching implementation
* chore: make style
* feat: added threshold to post_process_keypoint_matching method
* fix: added missing instructions that turns keypoints back to absolute coordinate before matching forward
* fix: added typehint and docs
* chore: make style
* [run-slow] lightglue
* fix: add matches different from -1 to compute valid matches in post_process_keypoint_matching
* tests: added CUDA proof tests similar to SuperGlue
* chore: various changes to modeling_lightglue.py
- Added "Copies from" statements for copied functions from modeling_superglue.py
- Added missing docstrings
- Removed unused functions or classes
- Removed unnecessary statements
- Added missing typehints
- Added comments to the main forward method
* chore: various changes to convert_lightglue_to_hf.py
- Added model saving
- Added model reloading
* chore: fixed imports in lightglue files
* [run-slow] lightglue
* chore: make style
* [run-slow] lightglue
* Apply suggestions from code review
Co-authored-by: Pavel Iakubovskii <qubvel@gmail.com>
* [run-slow] lightglue
* chore: Applied some suggestions from review
- Added missing typehints
- Refactor "cuda" to device variable
- Variable renaming
- LightGlue output order changed
- Make style
* fix: added missing grayscale argument in image processor in case use of SuperPoint keypoint detector
* fix: changed lightglue HF repo to lightglue_superpoint with grayscale default to True
* refactor: make keypoints `(batch_size, num_keypoints, keypoint_dim)` through forward and unsqueeze only before attention layer
* refactor: refactor do_layer_keypoint_pruning
* tests: added tests with no early stop and keypoint pruning
* refactor: various refactoring to modeling_lightglue.py
- Removed unused functions
- Renamed variables for consistency
- Added comments for clarity
- Set methods to private in LightGlueForKeypointMatching
- Replaced tensor initialization to list then concatenation
- Used more pythonic list comprehension for repetitive instructions
* refactor: added comments and renamed filter_matches to get_matches_from_scores
* tests: added copied from statement with superglue tests
* docs: added comment to prepare_keypoint_matching_output function in tests
* [run-slow] lightglue
* refactor: reordered _concat_early_stopped_outputs in LightGlue class
* [run-slow] lightglue
* docs: added lightglue.md model doc
* docs: added Optional typehint to LightGlueKeypointMatchingOutput
* chore: removed pad_images function
* chore: set do_grayscale default value to True in LightGlueImageProcessor
* Apply suggestions from code review
Co-authored-by: Pavel Iakubovskii <qubvel@gmail.com>
* Apply suggestions from code review
Co-authored-by: Pavel Iakubovskii <qubvel@gmail.com>
* docs: added missing LightGlueConfig typehint in nn.Module __init__ methods
* docs: removed unnecessary code in docs
* docs: import SuperPointConfig only from a TYPE_CHECKING context
* chore: use PretrainedConfig arguments `num_hidden_layers` and `num_attention_heads` instead of `num_layers` and `num_heads`
* chore: added organization as arg in convert_lightglue_to_hf.py script
* refactor: set device variable
* chore: added "gelu" in LightGlueConfig as hidden_act parameter
* docs: added comments to reshape.flip.reshape instruction to perform cross attention
* refactor: used batched inference for keypoint detector forward pass
* fix: added fix for SDPA tests
* docs: fixed docstring for LightGlueImageProcessor
* [run-slow] lightglue
* refactor: removed unused line
* refactor: added missing arguments in LightGlueConfig init method
* docs: added missing LightGlueConfig typehint in init methods
* refactor: added checkpoint url as default variable to verify models output only if it is the default url
* fix: moved print message inside if statement
* fix: added log assignment r removal in convert script
* fix: got rid of confidence_thresholds as registered buffers
* refactor: applied suggestions from SuperGlue PR
* docs: changed copyright to 2025
* refactor: modular LightGlue
* fix: removed unnecessary import
* feat: added plot_keypoint_matching method to LightGlueImageProcessor with matplotlib soft dependency
* fix: added missing import error for matplotlib
* Updated convert script to push on ETH org
* fix: added missing licence
* fix: make fix-copies
* refactor: use cohere apply_rotary_pos_emb function
* fix: update model references to use ETH-CVG/lightglue_superpoint
* refactor: add and use intermediate_size attribute in config to inherit CLIPMLP for LightGlueMLP
* refactor: explicit variables instead of slicing
* refactor: use can_return_tuple decorator in LightGlue model
* fix: make fix-copies
* docs: Update model references in `lightglue.md` to use the correct pretrained model from ETH-CVG
* Refactor LightGlue configuration and processing classes
- Updated type hints for `keypoint_detector_config` in `LightGlueConfig` to use `SuperPointConfig` directly.
- Changed `size` parameter in `LightGlueImageProcessor` to be optional.
- Modified `position_embeddings` in `LightGlueAttention` and `LightGlueAttentionBlock` to be optional tuples.
- Cleaned up import statements across multiple files for better readability and consistency.
* refactor: Update LightGlue configuration to enforce eager attention implementation
- Added `attn_implementation="eager"` to `keypoint_detector_config` in `LightGlueConfig` and `LightGlueAttention` classes.
- Removed unnecessary logging related to attention implementation fallback.
- Cleaned up import statements for better readability.
* refactor: renamed message into attention_output
* fix: ensure device compatibility in LightGlueMatchAssignmentLayer descriptor normalization
- Updated the normalization of `m_descriptors` to use the correct device for the tensor, ensuring compatibility across different hardware setups.
* refactor: removed Conv layers from init_weights since LightGlue doesn't have any
* refactor: replace add_start_docstrings with auto_docstring in LightGlue models
- Updated LightGlue model classes to utilize the new auto_docstring utility for automatic documentation generation.
- Removed legacy docstring handling to streamline the code and improve maintainability.
* refactor: simplify LightGlue image processing tests by inheriting from SuperGlue
- Refactored `LightGlueImageProcessingTester` and `LightGlueImageProcessingTest` to inherit from their SuperGlue counterparts, reducing code duplication.
- Removed redundant methods and properties, streamlining the test setup and improving maintainability.
* test: forced eager attention implementation to LightGlue model tests
- Updated `LightGlueModelTester` to include `attn_implementation="eager"` in the model configuration.
- This change aligns the test setup with the recent updates in LightGlue configuration for eager attention.
* refactor: update LightGlue model references
* fix: import error
* test: enhance LightGlue image processing tests with setup method
- Added a setup method in `LightGlueImageProcessingTest` to initialize `LightGlueImageProcessingTester`.
- Included a docstring for `LightGlueImageProcessingTester` to clarify its purpose.
* refactor: added LightGlue image processing implementation to modular file
* refactor: moved attention blocks into the transformer layer
* fix: added missing import
* fix: added missing import in __all__ variable
* doc: added comment about enforcing eager attention because of SuperPoint
* refactor: added SuperPoint eager attention comment and moved functions to the closest they are used
---------
Co-authored-by: Steven Bucaille <steven.bucaille@buawei.com>
Co-authored-by: Pavel Iakubovskii <qubvel@gmail.com>
* Updated Albert model Card
* Update docs/source/en/model_doc/albert.md
added the quotes in <hfoption id="Pipeline">
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/model_doc/albert.md
updated checkpoints
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/model_doc/albert.md
changed !Tips description
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/model_doc/albert.md
updated text
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/model_doc/albert.md
updated transformer-cli implementation
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/model_doc/albert.md
changed text
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/model_doc/albert.md
removed repeated description
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update albert.md
removed lines
* Update albert.md
updated pipeline code
* Update albert.md
updated auto model code, removed quantization as model size is not large, removed the attention visualizer part
* Update docs/source/en/model_doc/albert.md
updated notes
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update albert.md
reduced a repeating point in notes
* Update docs/source/en/model_doc/albert.md
updated transformer-CLI
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/model_doc/albert.md
removed extra notes
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
---------
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* 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
* Add ForVideoClassification model
* 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
* attention head
* update defaults
* Update docs/source/en/model_doc/vjepa2.md
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
* 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
* Initial cls head setup
* remove rop attention from head (not needed)
* remove swigluffn - not needed
* Add siglip layer
* Replace with siglip layer
* Rename Siglip - VJEPA2
* remove unused modules
* remove siglip mlp
* nit
* remove MLP
* Refactor head cross attention
* refactor VJEPA2HeadCrossAttentionLayer
* nit renaming
* fixup
* remove commented code
* Add cls head params to config
* depth from config
* move pooler + classifier to the model
* Update for cls model signature
* move layers, rename a bit
* fix docs
* update weights init
* remove typehint for init
* add to auto-mapping
* enable tests
* Add conversion script
* fixup
* add to docs
* fix docs
* nit
* refactor for mapping
* clean
* Add integration test
* Fixing multi gpu test
* update not-split-modules
* update video cls test tolerance
* Increase test_inference_image tolerance
* Update no-split modules for multi gpu
* Apply suggestions from code review
* fixing multi-gpu
* fix docstring
* Add cls snippet to docs
* Update checkpoint
* 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>
* update docs with new info
* Update docs/source/en/kv_cache.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
---------
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
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/model_doc/moonshine.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/model_doc/moonshine.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/model_doc/moonshine.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/model_doc/moonshine.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Updated Documentation According to changes
* Fixed the model with the commits
* Update moonshine.md
* Update moshi.md
---------
Co-authored-by: Your Name <sohamprabhu@Mac.fios-router.home>
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
---------
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* 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
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
* 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
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
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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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* 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.
* 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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* 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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* Update docs/source/en/model_doc/gpt_neo.md
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* Update docs/source/en/model_doc/gpt_neo.md
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* Update docs/source/en/model_doc/gpt_neo.md
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* Update docs/source/en/model_doc/gpt_neo.md
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* Update docs/source/en/model_doc/gpt_neo.md
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* Update docs/source/en/model_doc/gpt_neo.md
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* 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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* 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.
* add note on sigopt
* update
* Update docs/source/en/hpo_train.md
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* 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.
* 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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* 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
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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
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
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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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* 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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* Update docs/source/en/model_doc/gpt_neo.md
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* Update docs/source/en/model_doc/gpt_neo.md
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* Update docs/source/en/model_doc/gpt_neo.md
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* Update docs/source/en/model_doc/gpt_neo.md
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* Update docs/source/en/model_doc/gpt_neo.md
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* Update docs/source/en/model_doc/gpt_neo.md
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* Update docs/source/en/model_doc/gpt_neo.md
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