GitLab

* boom boom

* remove flax clip example

* allow loading head model with base model weights

* add test

* fix imports

* disable save, load test for clip

* add test_save_load_to_base

* boom boom

* remove flax clip example

* fix from_save_pretrained

* make_student.py: fix to make student ProphetNet

* reformat

* Better run ID

* Only part of CI

* Revert "Only part of CI"

This reverts commit 29f7f248d21e0f5792e0670ba8705b31ad8967b7.

* [run_clm.py] restore caching

* style

* [t5 doc] make the example work out of the box

This PR expands the training example to include the correct model type for the example to work, e.g. with `T5Model` this example will break.

* Update docs/source/model_doc/t5.rst
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* expand the other example
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* Moved Mish to Torch 1.9 version

* Run black formatting

* boom boom

* remove flax clip example

* few small fixes

* add FlaxAutoModelForSeq2SeqLM

* update desc for map in all examples

* added plm

* suggestions

* AutoTokenizer: infer the class from the tokenizer config if possible

* Add tests

* Update src/transformers/models/auto/tokenization_auto.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* fix pt-1.9.0 add_ deprecation

* add () for clarity

* Trigger CI

* require_version(torch

* Support for torch 1.9.0

* Torch scatter for 1.9.0

* Github Actions run on 1.9.0

* Remove unused variables

* Improve docs

* Fix docs of segmentation masks
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* fixed broken link

* Update docs/source/benchmarks.rst
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update docs/source/benchmarks.rst
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Use yaml to create metadata

* Fix typo

* Remove pin

* fix_torch_device_generate_test

* remove @

* add hubert

* add first test file

* more docs

* fix bugs

* fix bug

* finish

* finish

* finish docstring

* fix

* fix

* finalize

* add to ignored

* finish

* Apply suggestions from code review

* correct naming

* finish

* fix auto config

* finish

* correct convert script

* Apply suggestions from code review
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* apply suggestions lysandre & suraj
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* fix_torch_device_generate_test

* remove @

* push new logit processors

* add processors

* save first working version

* save intermediate

* finish

* make style

* make fix-copies

* finish

* Update tests/test_modeling_flax_bart.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Apply suggestions from code review
Co-authored-by: Suraj Patil <surajp815@gmail.com>
Co-authored-by: Patrick von Platen <patrick@huggingface.co>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* Temporarily deactivate torch-scatter while we wait for new release

* torch-1.8.1 binary for scatter

* Revert to 1.8.0

* Pin torch dependency

* torchaudio and torchvision

* [WIP] Model card defaults

* finetuned_from default value

* Add all mappings to the mapping file

* Be more defensive on finetuned_from arg

* Add default task tag

* Separate tags from tasks

* Edge case for dataset

* Apply suggestions from code review
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* ensure concurrent pytest workers use a unique port for torch.distributed.launch

* reword

* fix

* fixes

* add back to scheduled tests

* formatting

* Update integrations.py

- Convert use of deprecated AutoModelWithLMHead to AutoModelForSeq2SeqLM
- Add newly required `truncation=True` to `tokenizer.encode` with `max_length`

This silences all warnings.

* Add course banner

* Update course banner

Use a released version of optax rather than installing from Git

* fix_torch_device_generate_test

* remove @

* add params as input

* finish