* add get_overflowing_images function to ensure 1-to-1 mapping between samples and images in LayoutLMv2Processor
* make style
* add test for overflowing_tokens, change assert to ValueError, avoiding unrelated formatting changes
* change line length by passing --preview into black
* Added spanish translation of autoclass_tutorial.
Added 'local' and 'title' fields for autoclass_tutorial.
* Fixed autoclass_tutorial title in _toctree.yml and autoclass_tutorial.mdx
* CLIP Serving
* Add type hints per code review
* Use black, flake8, and isort
* Update src/transformers/models/clip/modeling_tf_clip.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
* Rollback serving_output and add TODO
* Remove irrelevant portions of failing tests
* Revert "Rollback serving_output and add TODO"
This reverts commit a4abfa6ba3b7875a13538dbc2ddc4eb17dfcca8d.
* Rollback to original test/serving_output
* Fix unused var
* Apply suggestions from code review
* Update formatting with black
* Fix style again from rebase
* Update tests/models/clip/test_modeling_tf_clip.py
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
Co-authored-by: Sean Moriarity <sean.l.moriarity.mil@army.mil>
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>
* Type hint complete Albert model file.
* Update typing.
* Update src/transformers/models/albert/modeling_albert.py
Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>
* [T5 Tokenizer] Model has no fixed position ids - there is no hardcoded max length
* [T5 Tokenizer] Model has no fixed position ids - there is no hardcoded max length
* correct t5 tokenizer
* correct t5 tokenizer
* fix test
* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* finish
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* First draft
* Add YolosForObjectDetection
* Make forward pass work
* Add mid position embeddings
* Add interpolation of position encodings
* Add expected values
* Add YOLOS to tests
* Add integration test
* Support tiny model as well
* Support all models in conversion script
* Remove mid_pe_size attribute
* Make more tests pass
* Add model to README and fix config
* Add copied from statements
* Rename base_model_prefix to vit
* Add missing YOLOS_PRETRAINED_CONFIG_ARCHIVE_MAP
* Apply suggestions from code review
* Apply more suggestions from code review
* Convert remaining checkpoints
* Improve docstrings
* Add YolosFeatureExtractor
* Add feature extractor to docs
* Add corresponding tests
* Fix style
* Fix docs
* Apply suggestion from code review
* Fix bad rebase
* Fix some more bad rebase
* Fix missing character
* Improve docs and variable names
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
* Add meta proxy
* Uses meta data to trace data dependent control-flow
* Remove commented class
* Handles torch creating functions
* Added type annotation to fix tracing
* Tracing works for everything but T5 and GPT-J
* Almost all previously supported models pass
* All architectures can be traced except T5
* Intermediate commit to have a trace of the comparison operators for HFProxy
* Everything works, except loss computation
* Everything works
* Removed unused import
* Overriden methods do not use underlying ops (linear and torch.matmul), and model attributes are copied to the traced version
* Fix torch_matmul_override
* Change attributes reference to deepcopy
* Remove breakpoint and add torch_index_override
* Small fix
* Fix typo
* Replace asserts by explicit exceptions
