* Refactor ColPali model documentation
* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Include quantisation exemple + real images
* simpler image loading
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Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update VITS model card
* Update docs/source/en/model_doc/vits.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/model_doc/vits.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/model_doc/vits.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/model_doc/vits.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update vits.md
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Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* VDR task guide
* Add to toctree
* Update docs/source/en/tasks/visual_document_retrieval.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/tasks/visual_document_retrieval.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/tasks/visual_document_retrieval.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/tasks/visual_document_retrieval.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/tasks/visual_document_retrieval.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/tasks/visual_document_retrieval.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/tasks/visual_document_retrieval.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/tasks/visual_document_retrieval.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/tasks/visual_document_retrieval.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/tasks/visual_document_retrieval.md
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>
* fix and enhance pipeline_webserver.md
Signed-off-by: Yao, Matrix <matrix.yao@intel.com>
* Update docs/source/en/pipeline_webserver.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/pipeline_webserver.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* use pipe
Signed-off-by: YAO Matrix <matrix.yao@intel.com>
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Signed-off-by: Yao, Matrix <matrix.yao@intel.com>
Signed-off-by: YAO Matrix <matrix.yao@intel.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* fix: Restore explicit error surfacing for unexpected hub exceptions
Prior to PR #36033, unexpected exceptions (e.g., ModuleNotFoundError) during hub model loading were not swallowed silently. They either matched specific except blocks or were raised.
After #36033, a catch-all except Exception block was introduced without a fallback else, causing unknown errors to be silently ignored and leading to misleading downstream behavior.
This commit adds an `else: raise e` to ensure only explicitly handled exceptions are suppressed. All others are surfaced, restoring pre-4.50 behavior and aiding in debugging and dependency visibility.
Co-authored-by: Cyril Vallez <cyril.vallez@huggingface.co>
* Add MLCD model
* Update codes for auto-mapping
* Add test scripts for MLCD
* Update doc for MLCD model
* Fix import error
* Fix import error
* Fix CI error for attention_outputs
* Fix code style for CI
* Fix code style for CI
* Fix code style for CI
* Fix code style for CI
* Fix code style for CI
* Fix CI error for initialization
* Fix code style for CI
* Fix code style for CI
* Reformat codes and docs for CI test
* Reformat codes and docs for CI test
* Remove unused attributes for CI test
* Fix style for CI test
* List MLCD in flash_attn doc
* Fix: typos, modulars, refactors from suggestions
* Refactoring convert_mlcd_weights_to_hf.py from suggestions
* Fix: docs conflicts
* Fix error for CI test
* Fix style for CI test
* Add integration test for MLCD
* Refactoring by class inheritance
* Fix: refactor attention interface, adjust codes
* Fix: merging conflicts
* Fix: merging conflicts
* Fix: style for CI test
* Fix: style for CI test
* Fix: set test_resize_embeddings to be False
* Fix: initializer for CI test
* Fix: conflicts, CI test, warning and refactoring
* Fix: merging conflicts
* Refactor
* Update docs
* Fix mistakes
* Remove unused args and fix multi-gpu error
* Revert position_embeddings
* Solve conflicts
* Solve conflicts
* Remove dummy
* Update _init_weights
* Update _init_weights
* Update _init_weights for CI test
* Add ImageProcessorFast to BiT processor
* propose a fast processor and add tests
* all tests pass except one
* run make
* remove useless print
* use same test as clip
* apply make
* Update src/transformers/models/bit/image_processing_bit_fast.py
Co-authored-by: Yoni Gozlan <74535834+yonigozlan@users.noreply.github.com>
* Update setup.py
Co-authored-by: Yoni Gozlan <74535834+yonigozlan@users.noreply.github.com>
* Update src/transformers/models/bit/image_processing_bit_fast.py
Co-authored-by: Yoni Gozlan <74535834+yonigozlan@users.noreply.github.com>
* apply review comment
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Co-authored-by: Yoni Gozlan <74535834+yonigozlan@users.noreply.github.com>
* fix BlockMask handling when using flex_attention for llama/mistral/gemma2
* fix attention_mask types
* revert type hints and fixup
* remove unnecessary assertion
* support fast image processor layoutlmv3
* make style
* add warning and update test
* make style
* Update src/transformers/models/layoutlmv3/image_processing_layoutlmv3_fast.py
* Update image_processing_auto.py
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Co-authored-by: Yoni Gozlan <74535834+yonigozlan@users.noreply.github.com>
* support flava fast image processor
* run style and quality
* update test
* update according to reviews
* make style
* update comment on BICUBIC
* make style
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Co-authored-by: Yoni Gozlan <74535834+yonigozlan@users.noreply.github.com>
* add test and fast image processor
* make style
* Update src/transformers/models/perceiver/image_processing_perceiver_fast.py
Co-authored-by: Yoni Gozlan <74535834+yonigozlan@users.noreply.github.com>
* make style
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Co-authored-by: Yoni Gozlan <74535834+yonigozlan@users.noreply.github.com>
* First pass at speech granite
Add encoder / projector, rename things
* Combine into one model file with causal lm outputs for forward
* Add loss calc
* Fix config loading
Signed-off-by: Alex-Brooks <Alex.brooks@ibm.com>
* Split new / old loading logic
* Use transformers integration for loading peft adapters
* Add generation wrapper for selective lora enablement
* Add note for qformer encoder automodel
* Guard torch/audio imports in feature extractor
* Handle granite speech autoclasses
* Handle optional deps in package structure for granite speech
* Add granite pretrained model def for init
* Add dummy objects for torch/torchaudio
* Add tests for granite speech processor
* Minor formatting fixes and refactoring
* Add options for falling back to config in forward
* Tentative model docstrings for granite speech
* Fix config type
* Remove legacy load
* Allow non-lora variants for granite speech
* Override weight tying for llm
* Use text config instead of llm config
* Add output embeddings getter to fix weight tying
* Fix relative imports
* computing the number of audio features, based on the raw audio sequence.
* collating audio inputs, and keeping the original lengths.
* asserted we have text. otherwise we can't specify the audio special token.
* assering the number of audio-symbols/audios match correctly.
running get validated_audios only when audio is present
* indentation bugfix + supporting different feature lengths when expanding audio.
* redundant, done in _get_validated_text
* adapting the tests:
- we must have text (not either audio or text)
- _get_num_audio_features takes a list of raw lengths, provided it insetad.
* Minor cleanup, remove unused import
* Add more tests for batch feature processing
* Allow setting offset in rel position embeddings
* Add config option for warning if peft is not installed w/ lora
* Port blip2 qformer code into granite speech
* Add sad test for numpy arr processing
* Allow numpy arrays / tuples in granite speech processor
* Fix config type for projector
* - pad instead of creating a zeros tensor, to keep the original dtype/device (support bfloat16)
- cast input_features to the model dtype (support bfloat16)
* merge Blip2QFormerConfig to GraniteSpeechProjectorConfig
* prevent a crash when re-saving/loading the model (line 109)
* consider additional edge cases during preprocessing.
* consider additional edge cases during preprocessing.
* add features mask for batched inference (bugfix)
* Minor refactor, remove multiaudio processor tests
* Add set input/output embeddings for granite speech
* Fix feature dim check in processor test
* Pop input features in embed test for granite speech
* Small fixes for test edge cases
Add granite speech to seq2seq causal lm mapping names
* Add small tests for granite speech model
* Fix data parallelism test
* Standardize model class names
* Fix check for copies
* Fix misaligned init check
* Skip granite speech in checkpoint check
* Use default for tie_word_embeddings in granite speech
* Fix non documentation granite speech repo issues
* Fix comments and docstring checks
* Add placeholder docs for granite speech
* Fix test naming collision
* Code formatting
* Rerun torch dummy obj regen
* Fix save pretrained for granite speech
* Import sorting
* Fix tests typo
* Remove offset hack
* Pass args through encoder config
* Remove unused prune heads from blip2
* removing einsum. replaced with explicit multiplication (relative positional encodings) and sdpa attention.
* remove Sequential from ConformerFeedForward and ConformerConvModule. + fix for sdpa attention
* remove GraniteSpeechConformerScale
* rename to hidden_states
* rename conformer layers to self.layers, remove the first linear from the list to keep the list homogenous.
* move pre-norm to the attention/feedforward blocks (avoid complex module wrapping)
* adding pre_norm into forward
* feature extractor refactoring to resemble how it's done in phi4multimodal.
* rename feature_extractor to audio_processor
* bugfix: input_feature_mask fix to get the exact number tokens.
* Fix pytest decorator in processor test
* Add (disabled) integration tests for granite speech
* Fix handling of optional feature masking
* Loosen validation in processing for vLLM compatability
* Formatting fixes
* Update init structure to mirror llama
* Make granite speech projector generic
* Update test config to reflect generic projector
* Formatting fixes
* Fix typos, add license
* Fix undefined var in input processing
* Cleanup and expose ctc encoder
* Add missing config docstrings
* Better var names, type hints, etc
* Set attn context size in init
* Add max pos emb to encoder config
* Cleanup feature extractor
* Add granite speech architecture details
* Remove granite speech qformer ref
* Add paper link, explicit calc for qkv
* Calculate padding directly in depthwise conv1d init
* Raise value error instead of asserting
* Reorder class defs (classes used at top)
* Precompute relpos distances
* Run formatting
* Pass attention distances through forward
* Apply suggestions from code review
Co-authored-by: eustlb <94853470+eustlb@users.noreply.github.com>
* Add todo for using common batch feature extraction
* Rename audios/features
* Ensure chat template may be provided to processor
* Move granite speech docs to audio models
* Add todos for input proc refactoring
* Fix import order
* Guard torch import
* Use relative imports
* Require torch backend for processor in granite speech
* Add backend guards in feature extractor
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Signed-off-by: Alex-Brooks <Alex.brooks@ibm.com>
Co-authored-by: Avihu Dekel <avihu.dekel@ibm.com>
Co-authored-by: eustlb <94853470+eustlb@users.noreply.github.com>
* Add saving in the new format (but no loading yet!)
* Add saving in the new format (but no loading yet!)
* A new approach to template files!
* make fixup
* make fixup, set correct dir
* Some progress but need to rework for cached_file
* Rework loading handling again
* Small fixes
* Looks like it's working now!
* make fixup
* Working!
* make fixup
* make fixup
* Add TODO so I don't miss it
* Cleaner control flow with one less indent
* Copy the new logic to processing_utils as well
* Proper support for dicts of templates
* make fixup
* define the file/dir names in a single place
* Update the processor chat template reload test as well
* Add processor loading of multiple templates
* Flatten correctly to match tokenizers
* Better support when files are empty sometimes
* Stop creating those empty templates
* Revert changes now we don't have empty templates
* Revert changes now we don't have empty templates
* Don't support separate template files on the legacy path
* Rework/simplify loading code
* Make sure it's always a chat_template key in chat_template.json
* Update processor handling of multiple templates
* Add a full save-loading test to the tokenizer tests as well
* Correct un-flattening
* New test was incorrect
* Correct error/offline handling
* Better exception handling
* More error handling cleanup
* Add skips for test failing on main
* Reorder to fix errors
* make fixup
* clarify legacy processor file docs and location
* Update src/transformers/processing_utils.py
Co-authored-by: Lucain <lucainp@gmail.com>
* Update src/transformers/processing_utils.py
Co-authored-by: Lucain <lucainp@gmail.com>
* Update src/transformers/processing_utils.py
Co-authored-by: Lucain <lucainp@gmail.com>
* Update src/transformers/processing_utils.py
Co-authored-by: Lucain <lucainp@gmail.com>
* Rename to _jinja and _legacy
* Stop saving multiple templates in the legacy format
* Cleanup the processing code
* Cleanup the processing code more
* make fixup
* make fixup
* correct reformatting
* Use correct dir name
* Fix import location
* Use save_jinja_files instead of save_raw_chat_template_files
* Correct the test for saving multiple processor templates
* Fix type hint
* Update src/transformers/utils/hub.py
Co-authored-by: Julien Chaumond <julien@huggingface.co>
* Patch llava_onevision test
* Update src/transformers/processing_utils.py
Co-authored-by: Julien Chaumond <julien@huggingface.co>
* Update src/transformers/tokenization_utils_base.py
Co-authored-by: Julien Chaumond <julien@huggingface.co>
* Refactor chat template saving out into a separate function
* Update tests for the new default
* Don't do chat template saving logic when chat template isn't there
* Ensure save_jinja_files is propagated to tokenizer correctly
* Trigger tests
* Update more tests to new default
* Trigger tests
---------
Co-authored-by: Lucain <lucainp@gmail.com>
Co-authored-by: Julien Chaumond <julien@huggingface.co>
