* Add gated-silu to t5 architecture to support UL2
* Fix error message
* formatting
* formatting again
* refactor
* fix classnames in _init_weights
* remove is_gated
* add test
* fix test
* Try without the test?
* Add back the test.
* Improve error message.
Co-authored-by: Daniel Hesslow <daniel@lighton.ai>
* Implemented loss for training AudioFrameClassification
* reported changes in wav2vec2 main class and used make copies to propagate
* running black for code formatting
* print more lib. versions and just befor test runs
* update print_env_pt.py
* rename to print_env
* Disable warning + better job name
* print python version
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
* add a test for a word only input
* make LukeForMaskedLM work without entity inputs
* update test
* add LukeForMaskedLM to MODEL_FOR_MASKED_LM_MAPPING_NAMES
* restore pyproject.toml
* empty line at the end of pyproject.toml
I think you mean to accept either an instance of `PreTrainedTokenizer` or `PreTrainedTokenizerFast` inside of the `pipeline(...)` factory function, if the `tokenizer` argument isn't a `str`.
* initial commit
* add init file
* update globakl init
* update index and dummy objects
* style
* update modelling auto
* fix initi typo in src/transformers
* fix typo in modeling tf auto, opt was in wrong mapping name
* fixed a slow test : saved_model
* style
* fix positionnal embedding if no position id is provided
* update tf test
* update test flax requirements
* fixed serialization
* update
* update tf name to allow smooth convertion
* update flax tests
* style
* fix test typo
* fix tf typo test
* add xla for generate support in causal LM
* fixed bug
* cleaned tf tests
* style
* removed from PT for slow tests
* fix typp
* opt test as slow
* trying to fix GPT2 undefined
* correct documentation and add to test doc
* update tf doc
* fix doc
* fake commit
* Apply suggestions from code review
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
* update test based on review
* merged main layer for functionning test
* fixup + quality
* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* update long comment
* make fix copies
Co-authored-by: Arthur <arthur@huggingface.co>
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* [Json dump] Make json prettier
* correct more tokenizeirs
* more patterns
* add aggressive test
* the aggressive test was actually useful :-)
* more tests
* Apply suggestions from code review
* Accumulate tokens into batches in PreTrainedTokenizerBase.add_tokens()
For tokenizers with a small number of special tokens or special tokens
with consecutive token IDs, this reduces the time complexity of creating
the trie from quadratic to linear, see also #16936.
* Extend explanation of batching added tokens
* Setup for Italian translation and add first document
- Add 'it' folder for files translated into Italian
- Add _config.py and _toctree.yml files
- Add translation of quicktour.mdx
* Fix style issue of italian documentation files
* Add 'it' to the languages section in the .github/workflows
* Remove - installation from _toctree for Italian
* Translation for index file
- Add index to _toctree.yml
- Add translation of index.mdx
* Fix typo in docs/source/it/index.mdx
* Translate code comments in docs/source/it/_config.py
Co-authored-by: Martina Fumanelli <martinafumanelli@Martinas-MBP.homenet.telecomitalia.it>
* Add onnx configuration for xlm
* Add supported features for xlm
* Add xlm to models exportable with onnx
* Add xlm architecture to test file
* Modify docs
* Make code quality fixes
* Support for Bart and LayoutLM, and partial support for XLNet
* Support for mbart
* A lot of new models supported
* Support for other models
* LayoutLM fix
* Use strings instead of classes
