GitLab

Add link to code

add test for pickle

simplify test

fix test code style

add missing pickle import

fix test

fix test

fix test

Co-authored-by: Frederik Bode <frederik@paperbox.ai>

* Split checkpoint from model_name_or_path in examples

* Address review comments

* Address review comments

Co-authored-by: Michael Benayoun <michael@huggingface.co>

* Reformat to make code clearer

* Reformat to make code clearer

* add attentions & hidden states

* add model outputs + docs

* finish docs

* finish tests

* finish impl

* del @

* finish

* finish

* correct test

* apply sylvains suggestions

* Update src/transformers/models/bert/modeling_flax_bert.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* simplify more
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update tokenization_utils_base.py

* add assertion

* check batch len

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

* add error message
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update min versions in README and add Flax

* Adapt index

* fix docs for decoder_input_ids

* revert the changes for bart and mbart

* finish quicktour

* fix import

* fix print

* explain config default better

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

* update docs to reflect model output object

* run make style`

* removed max_len

* removed max_length from BeamSearchScorer

* correct max length

* finish

* del vim

* finish & add test
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* adding Z-inf

* revamp config process

* up version requirement

* wip

* massive rewrite

* cleanup

* cleanup

* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* consistent json commas

* act on suggestions

* leave this feature for 0.3.16

* style
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

As the error comes from the inconsistency of variable meaning number of gpus in parser and its actual usage in the train.py script, 'gpus' and 'n_gpu' respectively,  the correction makes the example work

* added changes for uniformity

* modified files

* corrected typo

* fixed qa scripts

* fix typos

* fixed predict typo in qa no trainer

* fixed test file

* reverted trainer changes

* reverted trainer changes in custom exmaples

* updated readme

* added changes in deepspeed test

* added changes for predict and eval

* fix invalid class name

* proper ref

* proper ref

* Improve documentation for is_split_into_words argument

* Change description wording

* Pass along seed to DistributedSampler

* Add seed to DistributedLengthGroupedSampler

* Add FP16 support for SageMaker MP

* Add print debugs

* Squeeze

* Remove debug statements

* Add defensive check

* Typo

TF BART models - Add `cross_attentions` to model output and fix cross-attention head masking (#10699)

* Add cross_attn_head_mask to BART

* Fix cross_attentions in TFBart-like models

* This commit enables returning of `cross_attentions`
for TFBart-like models

* It also fixes attention head masking in cross-attenion module

* Update TF model templates

* Fix missing , in TF model templates

* Fix typo: congig -> config

* removes the creation of separate config objects and uses the existing ones instead+overwrite resize_token_embeddings from parent class because it is not working for the EncoderDecoderModel

* rollback to current version of the huggingface master branch

* reworked version that ties the encoder and decoder config of the parent encoderdecoder instance

* overwrite of resize_token_embeddings throws an error now

* review comment suggestion
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* implemented warning in case encoderdecoder is created with differing configs of encoderdecoderconfig and decoderconfig or encoderconfig

* added test to avoid diverging configs of wrapper class and wrapped classes

* Update src/transformers/models/encoder_decoder/modeling_encoder_decoder.py

* make style
Co-authored-by: Suraj Patil <surajp815@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Add head_mask & decoder_head_mask + some corrections

* Fix head masking for N-grams

* Enable test_headmasking for encoder and decod

* Fix one typo regarding in modeling_propgetnet.py

* Enable test_headmasking for ProphetNetStandaloneDecoderModelTest
and ProphetNetStandaloneEncoderModelTest in test_modeling_prophetnet.py

* make style

* Fix cross_head_mask

* Fix attention head mask naming

* `cross_head_mask` -> `cross_attn_head_mask`

* `cross_layer_head_mask` -> `cross_attn_layer_head_mask`

* Still need to merge #10605 to master to pass the tests

documentation linked to the parent class PreTrainedTokenizerFast but it should be the slow tokenizer (#11410)