* [ custom_models.mdx ] - Translated to Portuguese the custom models tutorial.
* [ run_scripts.mdx ] - Translated to Portuguese the run scripts tutorial.
* support sentencepiece for bertjapanesetokenizer
* add test vocab file for sentencepiece, bertjapanesetokenizer
* make BasicTokenizer be identical to transformers.models.bert.tokenization_bert.BasicTokenizer
* fix missing of \n in comment
* fix init argument missing in tests
* make spm_file be optional, exclude spiece.model from tests/fixtures, and add description comments
* make comment length less than 119
* apply doc style check
* Added support for multivariate independent emission heads
* fix typo
* rename distr_cls
* scale is a vector for multivariate
* set affine transform event_dim
* fix typo
* added variable
* added beta in the config
* set beta
* remove beta-nll option in nll
* First step of PT->TF for composite models
* Update the tests
* For VisionEncoderDecoderModel
* Fix
* Fix
* Add comment
* Fix
* clean up import
* Save memory
* For (TF)EncoderDecoderModel
* For (TF)EncoderDecoderModel
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
* Re-enable `small_model_pt`.
Re-enable `small_model_pt`.
Enabling the current test with the current values.
Debugging the values on the CI.
More logs ? Printing doesn't work ?
Using the CI values instead. Seems to be a Pillow sensitivity.
* Update src/transformers/pipelines/image_segmentation.py
Co-authored-by: Alara Dirik <8944735+alaradirik@users.noreply.github.com>
Co-authored-by: Alara Dirik <8944735+alaradirik@users.noreply.github.com>
* Change the import order of the model and configuration classes
* Add (with random weights) in the comment before model initialization
* Add configuration_wavlm to doctest
* add: the contrastive search for generaton_utils
* add: testing scripts for contrastive search under examples/text-generation
* update the quality of codes
* revise the docstring; make the generation_contrastive_search.py scripts;
* revise the examples/pytorch/text-generation/run_generation_contrastive_search.py to the auto-APIs format
* revise the necessary documents
* fix: revise the docstring of generation_contrastive_search.py
* Fix the code indentation
* fix: revise the nits and examples in contrastive_search docstring.
* fix the copyright
* delete generation_contrastive_search.py
* revise the logic in contrastive_search
* update the intergration test and the docstring
* run the tests over
* add the slow decorate to the contrastive_search intergrate test
* add more test
* do the style, quality, consistency checks
