* fix: deprecate plot_keypoint_matching and make visualize_keypoint_matching for all Keypoint Matching models
* refactor: added copied from
* fix: make style
* fix: repo consistency
* fix: make style
* docs: added missing method in SuperGlue docs
* first commit
Added modular implementation for MM Grounding DINO from starting point created by add-new-model-like. Added conversion script from mmdetection to huggingface.
TODO: Some tests are failing so that needs to be fixed.
* fixed a bug with modular definition of MMGroundingDinoForObjectDetection where box and class heads were not correctly assigned to inner model
* cleaned up a hack in the conversion script
* Fixed the expected values in integration tests
Cross att masking and cpu-gpu consistency tests are still failing however.
* changes for make style and quality
* add documentation
* clean up contrastive embedding
* add mm grounding dino to loss mapping
* add model link to config docstring
* hack fix for mm grounding dino consistency tests
* add special cases for unused config attr check
* add all models and update docs
* update model doc to the new style
* Use super_kwargs for modular config
* Move init to the _init_weights function
* Add copied from for tests
* fixup
* update typehints
* Fix-copies for tests
* fix-copies
* Fix init test
* fix snippets in docs
* fix consistency
* fix consistency
* update conversion script
* fix nits in readme and remove old comments from conversion script
* add license
* remove unused config args
* remove unnecessary if/else in model init
* fix quality
* Update references
* fix test
* fixup
---------
Co-authored-by: qubvel <qubvel@gmail.com>
* fix?
* fixme and style
* Update src/transformers/modeling_utils.py
* update
* update
* fix
* small fixees
* nit
* nits
* fix init check?
* fix
* fix default
* or fucks me
* nits
* include a small nit
* does this make it hapy?
* fixup
* fix the remaining ones
* Add cohere2_vision to support CohereLabs/command-a-vision-07-2025
* update and add modualr file
* update processors and check with orig impl later
* delete unused files
* image processor reduce LOC and re-use GotOCR2
* update the config to use modular
* model tests pass
* processor fixes
* check model outputs decorator
* address one more comment
* Update tokens. Temp - need to read from tokenizer'
* fix for multi-gpu
* Fix image token handling
* upadte image token expansion logic
* fix a few issues with remote code loading
* not related but modular forces us to change all files now
* Add overview and code sample to cohere vision docs
* add scripts. TMP.
* Update inference script
* Create script
* set dtype in export script
* TO revert: modular export fix
* Fix scripts
* Revert "TO revert: modular export fix"
This reverts commit bdb2f305b61027a05f0032ce70d6ca698879191c.
* Use modular weights
* Upload to hub
Removed OOD weights ad script
* Updated docs
* fix import error
Update docs
Added pipeline test
* Updated docs
* Run modular script
remove modular for config
Added patch_size
Added docstrings in modular
Fix OOM
Add docs, fixup integration tests. 8-gpu passing
* tiny updates
* address comments + fixup
* add test for chat template
* check model outputs workaround
* aya vision fix check model inputs
* Revert "add test for chat template"
This reverts commit 42c756e397f588d76b449ff1f93292d8ee0202d8.
* reveert more changes
* last revert
* skip and merge
* faulty copy from
---------
Co-authored-by: Julian Mack <julian.mack@cohere.com>
Co-authored-by: kyle-cohere <kyle@cohere.com>
* feat(tokenization): add encode_message to tokenize messages one by one
* Fix the `encode_message` method, remove the `add_generation_prompt` parameter and add the corresponding error handling. Update the document to reflect this change and verify the error handling in the test.
* Optimize the `encode_message` method, improve the processing logic of the empty dialogue history, and ensure that the chat template can be applied correctly when the dialogue history is empty. Update the document to reflect these changes.
* The `_encode_message` method is deleted, the message coding logic is simplified, and the functional integrity of the `encode_message` method is ensured. Update the document to reflect these changes.
* Docs fix
* Revert changes in docstring of pad()
* Revert changes in docstring
* Update src/transformers/tokenization_utils_base.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Repair the call of the `encode_message` method, update it to `encode_message_with_chat_template` to support the chat template, and adjust the relevant test cases to reflect this change.
* Optimize the call format of the `apply_chat_template` method, and merge multi-line calls into a single line to improve code readability.
---------
Co-authored-by: pco111 <15262555+pco111@user.noreply.gitee.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* fix: cache_position: RuntimeError: Boolean value of Tensor with more than one value is ambiguous
* test cache_position
* move test
* propagate changes
---------
Co-authored-by: Masataro Asai <guicho2.71828@gmail.com>
* Add callback to monitor progress in whisper transcription
* Added `` around variables, rewording
* Add example of `monitor_progress`.
---------
Co-authored-by: Eric B <ebezzam@gmail.com>
* docs: ko: main_classes/peft.md
* feat: nmt draft
* docs: add missing TOC to documentation for `PeftAdapterMixin` section
Added a table of contents (TOC) to the documentation, specifically for the `transformers.integrations.PeftAdapterMixin` section, following the structure and content outlined in [this link](https://huggingface.co/docs/transformers/main/en/main_classes/peft#transformers.integrations.PeftAdapterMixin).
* fix: Improve naturalness of purpose expression in Korean
Changed '관리하기 위한' to '관리할 수 있도록' for more natural Korean expression when describing the purpose of providing functions.
* fix: Simplify plural form and make expression more concise
Changed '~할 수 없기 때문에' to '~할 수 없어' for more concise expression while maintaining clarity.
* fix: Replace technical term '주입' with more natural '적용'
Changed '주입할 수 없어' to '적용할 수 없어' for better readability.
Considered alternatives:
'삽입': Too literal translation of 'inject'
'입력': Could be misunderstood as data input
'통합': Implies merging two systems
'추가': Simple but less precise
'적용' was chosen as it's the most natural and widely used term in Korean technical documentation for this context.
* fix: update toctree path for PEFT to lowercase
Changed the toctree path from 'PEFT' (uppercase) to 'peft' (lowercase) to match the correct directory naming convention and prevent broken links.
* docs: update as per reviewer feedback after rebase
