* Add Falcon3 documentation
* Update Falcon3 documentation
* Change Falcon to Falcon3
* Update docs and run make fix-copies
* Add blog post and huggingface models links
* refactor image_processing_auto logic
* fix fast image processor tests
* Fix tests fast vit image processor
* Add safeguard when use_fast True and torchvision not available
* change default use_fast back to None, add warnings
* remove debugging print
* call get_image_processor_class_from_name once
* Add files
* Init
* Add TimmWrapperModel
* Fix up
* Some fixes
* Fix up
* Remove old file
* Sort out import orders
* Fix some model loading
* Compatible with pipeline and trainer
* Fix up
* Delete test_timm_model_1/config.json
* Remove accidentally commited files
* Delete src/transformers/models/modeling_timm_wrapper.py
* Remove empty imports; fix transformations applied
* Tidy up
* Add image classifcation model to special cases
* Create pretrained model; enable device_map='auto'
* Enable most tests; fix init order
* Sort imports
* [run-slow] timm_wrapper
* Pass num_classes into timm.create_model
* Remove train transforms from image processor
* Update timm creation with pretrained=False
* Fix gamma/beta issue for timm models
* Fixing gamma and beta renaming for timm models
* Simplify config and model creation
* Remove attn_implementation diff
* Fixup
* Docstrings
* Fix warning msg text according to test case
* Fix device_map auto
* Set dtype and device for pixel_values in forward
* Enable output hidden states
* Enable tests for hidden_states and model parallel
* Remove default scriptable arg
* Refactor inner model
* Update timm version
* Fix _find_mismatched_keys function
* Change inheritance for Classification model (fix weights loading with device_map)
* Minor bugfix
* Disable save pretrained for image processor
* Rename hook method for loaded keys correction
* Rename state dict keys on save, remove `timm_model` prefix, make checkpoint compatible with `timm`
* Managing num_labels <-> num_classes attributes
* Enable loading checkpoints in Trainer to resume training
* Update error message for output_hidden_states
* Add output hidden states test
* Decouple base and classification models
* Add more test cases
* Add save-load-to-timm test
* Fix test name
* Fixup
* Add do_pooling
* Add test for do_pooling
* Fix doc
* Add tests for TimmWrapperModel
* Add validation for `num_classes=0` in timm config + test for DINO checkpoint
* Adjust atol for test
* Fix docs
* dev-ci
* dev-ci
* Add tests for image processor
* Update docs
* Update init to new format
* Update docs in configuration
* Fix some docs in image processor
* Improve docs for modeling
* fix for is_timm_checkpoint
* Update code examples
* Fix header
* Fix typehint
* Increase tolerance a bit
* Fix Path
* Fixing model parallel tests
* Disable "parallel" tests
* Add comment for metadata
* Refactor AutoImageProcessor for timm wrapper loading
* Remove custom test_model_outputs_equivalence
* Add require_timm decorator
* Fix comment
* Make image processor work with older timm versions and tensor input
* Save config instead of whole model in image processor tests
* Add docstring for `image_processor_filename`
* Sanitize kwargs for timm image processor
* Fix doc style
* Update check for tensor input
* Update normalize
* Remove _load_timm_model function
---------
Co-authored-by: Amy Roberts <22614925+amyeroberts@users.noreply.github.com>
* add "Translating Benchmarks.md to Chinese "
* Removed all the English original text (which was previously kept as comments in the document) and refined some of the Chinese expressions.
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* add commen to offloading
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* Fixed typo in multi gpu docs and OLMoE version
* Fixed typos in docs for agents, agents advanced, knowledge distillation, and image feature extraction
* Fixed incorrect usage of model.image_guided_detection in zero shot object detection docs
* explain release_memory
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---------
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* Updated documentation and added conversion utility
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* Moved util function to integration folder + allow for str
* Update formatting
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* Updated formatting
* style changes
---------
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* Add Nemotron GGUF Loading Support
* fix the Nemotron architecture assignation
---------
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* Added image-text-to-text pipeline to task guide
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* Merge codeblocks
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* add deformable detr image processor fast
* add fast processor to doc
* fix copies
* nit docstring
* Add tests gpu/cpu and fix docstrings
* fix docstring
* import changes from detr
* fix imports
* rebase and fix
* fix input data format change in detr and rtdetr fast
* Fix post process function called in the instance segmentation example of mask2former
* fix description and additional notes for post_process_instance_segmentation of maskformers
* remove white space in maskformers post_process_instance_segmentation doc
* change image.size[::-1] to height and width for clarity in segmentation examples
* Add model skeletion with transformers-cli add-new-model-like
* Convert config to modular, add rms_norm_eps, delete clip_qkv
* Convert model to modular, add RMSNorm
* Add flash attention with qk norm and no qkv clipping
* Add decoder layer with RMSNorm after attention/feedforward layers
* Add base and causal model
* Add converter improvements from OLMo repo
* Update weight loading in OLMo to HF converter
* Set correct default for rms_norm_eps
* Set correct pipeline_model_mapping in test
* Run make fixup
* Fix model type
* Re-run modular conversion
* Manually set config docs to fix build errors
* Convert olmo-1124 to olmo_1124 to fix flash attention docs errors
* Start updating tests
* Update tests
* Copy upstream test_eager_matches_sdpa_inference_1_bfloat16 changes to olmo_1124
* Rename input_layernorm and post_attention_layernorm to reflect their ops better
* Use correct tokenizer
* Remove test unsupported by GPT2 tokenizer
* Create GenerationConfig outside of from_pretrained call
* Use simpler init file structure
* Add explicit __all__ to support simplified init
* Make safetensor serialization the default
* Update OLMo November 2024 docs
* add XPU path
* use accelerate API
* Update docs/source/en/tasks/semantic_segmentation.md
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* update more places with accelerate API
---------
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* kinda works
* update
* add tests
* update
* use special tokens in processors
* typo
* fix copies
* fix
* fix moshi after rebase
* update
* fix tests
* update
* Update docs/source/en/main_classes/tokenizer.md
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* update docs
* test for load time adding tokens
* fix some more tests which are now fetched better
* one more fix
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* Update _toctree.yml
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* update doc
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* delete closing tip
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* Standardize image-text-to-text-models-output
add post_process_image_text_to_text to chameleon and cleanup
Fix legacy kwarg behavior and deprecation warning
add post_process_image_text_to_text to qwen2_vl and llava_onevision
Add post_process_image_text_to_text to idefics3, mllama, pixtral processor
* nit var name post_process_image_text_to_text udop
* nit fix deprecation warnings
* Add image-text-to-text pipeline
* add support for image url in chat template for pipeline
* Reformat to be fully compatible with chat templates
* Add tests chat template
* Fix imports and tests
* Add pipeline tag
* change logic handling of single prompt ans multiple images
* add pipeline mapping to models
* fix batched inference
* fix tests
* Add manual batching for preprocessing
* Fix outputs with nested images
* Add support for all common processing kwargs
* Add default padding when multiple text inputs (batch size>1)
* nit change version deprecation warning
* Add support for text only inference
* add chat_template warnings
* Add pipeline tests and add copied from post process function
* Fix batched pipeline tests
* nit
* Fix pipeline tests blip2
* remove unnecessary max_new_tokens
* revert processing kosmos2 and remove unnecessary max_new_tokens
* fix pipeline tests idefics
* Force try loading processor if pipeline supports it
* revert load_processor change
* hardcode loading only processor
* remove unnecessary try except
* skip imagetexttotext tests for kosmos2 as tiny model causes problems
* Make code clearer
* Address review comments
* remove preprocessing logic from pipeline
* fix fuyu
* add BC resize fuyu
* Move post_process_image_text_to_text to ProcessorMixin
* add guard in post_process
* fix zero shot object detection pipeline
* add support for generator input in pipeline
* nit
* change default image-text-to-text model to llava onevision
* fix owlv2 size dict
* Change legacy deprecation warning to only show when True
* add fast image processor rtdetr
* add gpu/cpu test and fix docstring
* remove prints
* add to doc
* nit docstring
* avoid iterating over images/annotations several times
* change torch typing
* Add image processor fast documentation
* add mamba architecture for gguf
* add logic for weights conversion, some fixes and refactoring
* add lm_head layers, unit test refactoring
* more fixes for tests
* remove lm_head creation
* remove unused comments
* feat: Added int conversion and unwrapping
* test: added tests for post_process_keypoint_detection of SuperPointImageProcessor
* docs: changed docs to include post_process_keypoint_detection method and switched from opencv to matplotlib
* test: changed test to not depend on SuperPointModel forward
* test: added missing require_torch decorator
* docs: changed pyplot parameters for the keypoints to be more visible in the example
* tests: changed import torch location to make test_flax and test_tf
* Revert "tests: changed import torch location to make test_flax and test_tf"
This reverts commit 39b32a2f69.
* tests: fixed import
* chore: applied suggestions from code review
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* tests: fixed import
* tests: fixed import (bis)
* tests: fixed import (ter)
* feat: added choice of type for target_size and changed tests accordingly
* docs: updated code snippet to reflect the addition of target size type choice in post process method
* tests: fixed imports (...)
* tests: fixed imports (...)
* style: formatting file
* docs: fixed typo from image[0] to image.size[0]
* docs: added output image and fixed some tests
* Update docs/source/en/model_doc/superpoint.md
Co-authored-by: Pavel Iakubovskii <qubvel@gmail.com>
* fix: included SuperPointKeypointDescriptionOutput in TYPE_CHECKING if statement and changed tests results to reflect changes to SuperPoint from absolute keypoints coordinates to relative
* docs: changed SuperPoint's docs to print output instead of just accessing
* style: applied make style
* docs: added missing output type and precision in docstring of post_process_keypoint_detection
* perf: deleted loop to perform keypoint conversion in one statement
* fix: moved keypoint conversion at the end of model forward
* docs: changed SuperPointInterestPointDecoder to SuperPointKeypointDecoder class name and added relative (x, y) coordinates information to its method
* fix: changed type hint
* refactor: removed unnecessary brackets
* revert: SuperPointKeypointDecoder to SuperPointInterestPointDecoder
* Update docs/source/en/model_doc/superpoint.md
Co-authored-by: Pavel Iakubovskii <qubvel@gmail.com>
---------
Co-authored-by: Steven Bucaille <steven.bucaille@buawei.com>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Pavel Iakubovskii <qubvel@gmail.com>
* Add docs/source/ar/fast_tokenizers.md to Add_docs_source_ar_fast_tokenizers.md
* Update _toctree.yml
* Update _toctree.yml
* Update docs/source/ar/_toctree.yml
Co-authored-by: Abdullah Mohammed <554032+abodacs@users.noreply.github.com>
* Update docs/source/ar/fast_tokenizers.md
Co-authored-by: Abdullah Mohammed <554032+abodacs@users.noreply.github.com>
* Update docs/source/ar/fast_tokenizers.md
Co-authored-by: Abdullah Mohammed <554032+abodacs@users.noreply.github.com>
* Update docs/source/ar/fast_tokenizers.md
Co-authored-by: Abdullah Mohammed <554032+abodacs@users.noreply.github.com>
* Update docs/source/ar/fast_tokenizers.md
Co-authored-by: Abdullah Mohammed <554032+abodacs@users.noreply.github.com>
* Update docs/source/ar/fast_tokenizers.md
Co-authored-by: Abdullah Mohammed <554032+abodacs@users.noreply.github.com>
* Update docs/source/ar/fast_tokenizers.md
Co-authored-by: Abdullah Mohammed <554032+abodacs@users.noreply.github.com>
* Update docs/source/ar/fast_tokenizers.md
Co-authored-by: Abdullah Mohammed <554032+abodacs@users.noreply.github.com>
* Update docs/source/ar/fast_tokenizers.md
Co-authored-by: Abdullah Mohammed <554032+abodacs@users.noreply.github.com>
* Update docs/source/ar/fast_tokenizers.md
Co-authored-by: Abdullah Mohammed <554032+abodacs@users.noreply.github.com>
* Update docs/source/ar/fast_tokenizers.md
Co-authored-by: Abdullah Mohammed <554032+abodacs@users.noreply.github.com>
---------
Co-authored-by: Abdullah Mohammed <554032+abodacs@users.noreply.github.com>
* translated gguf.md into chinese
* Apply suggestions from code review
I have updated the PR accordingly.Thank you very much for detailed guidance,and I 'll pay more attention to the details next time.
Co-authored-by: Isotr0py <2037008807@qq.com>
* Apply suggestions from code review
Co-authored-by: Isotr0py <2037008807@qq.com>
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Co-authored-by: Isotr0py <2037008807@qq.com>
