GitLab

* use custom training arguments

* update tests

* document MoE model approach

* additional info from Samyam

* fix

* Fixing tests for perceiver (texts)

* For MaskedLM

* Test workflow

* Build doc

* Make a clean build

* Add doc config

* Restore other workflows

* Final job

* Print something in else statements

* Pull before making changes

* Fix doc examples: unexpected keyword argument

* Don't delete token_type_ids from inputs
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

Fix examples: 'CausalLMOutputWithCrossAttentions' object has no attribute 'last_hidden_state' (#14678)
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* add str hub token to repository when provided else fallback to default True

* make style

* Fix doc examples: name '...' is not defined

* remove >>> and ... in some docstrings in visual_bert
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Move pyctcdecode dep

* Fix doc and last objects

* Quality

* Style

* Ignore this black

* [bf16 support] tweaks

* corrections
Co-authored-by: Manuel R. Ciosici <manuelrciosici@gmail.com>

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Fixes in init

* Style

* change args to address overwriting issue

* remove project name from args

* remove passing args as kwargs to experiment object

* remove passing args as kwargs to offline experiment

* fix offline directory assignment in experiment kwargs

* log checkpoint folder on training end

* log entire output_dir as asset folder

* log asset folder  recursively

* end experiment at the end of training

* clean up

* clean up

* Default to always log training assets to Comet when using CometCallback

* change logging training assets to be true when running callback setup

* fix so that experiment always ends when training ends

* styling and quality fixes

* update docstring for COMET_LOG_ASSETS environment variable

* run styling and quality checks

* clean up to docstring

* remove merge markers

* change asset logging to false to avoid hitting max assets per experiment limit

* update training asset description

* fix styling

* fix: verify jsonl in run_translation (#14660)

* fix(run_translation.py): json/jsonl validation

Both json and jsonl are to be accepted as valid jsonlines file extension

* fix(run_translation.py): make black happy

* Ran make style

* Convert a few docs

* And another

* Last tutorials

* New syntax for colab links

* Convert a few docs

* And another

* Last tutorials

* New syntax for colab links

This reverts commit 0c70f145.

* Added support for other features for already supported models

* Partial support for causal and seq2seq models

* Partial support for causal and seq2seq models

* OnnxSeq2SeqConfigWithPast to support seq2seq models

* Parameterized the onnx tests

* Restored run_mlm.py

* Restored run_mlm.py

* [WIP] BART update

* BART and MBART

* Added comments

* Another sequence length of the past_key_values

* [AutoProcessor] Add Wav2Vec2WithLM & small fix

* revert line removal

* Update src/transformers/__init__.py

* add test

* up

* up

* small fix

tf.matrix_band_part -> tf.linalg.band_part