1. 07 Dec, 2020 1 commit
  2. 18 Oct, 2020 1 commit
    • Thomas Wolf's avatar
      [Dependencies|tokenizers] Make both SentencePiece and Tokenizers optional dependencies (#7659) · ba8c4d0a
      Thomas Wolf authored
      * splitting fast and slow tokenizers [WIP]
      
      * [WIP] splitting sentencepiece and tokenizers dependencies
      
      * update dummy objects
      
      * add name_or_path to models and tokenizers
      
      * prefix added to file names
      
      * prefix
      
      * styling + quality
      
      * spliting all the tokenizer files - sorting sentencepiece based ones
      
      * update tokenizer version up to 0.9.0
      
      * remove hard dependency on sentencepiece 馃帀
      
      * and removed hard dependency on tokenizers 馃帀
      
      
      
      * update conversion script
      
      * update missing models
      
      * fixing tests
      
      * move test_tokenization_fast to main tokenization tests - fix bugs
      
      * bump up tokenizers
      
      * fix bert_generation
      
      * update ad fix several tokenizers
      
      * keep sentencepiece in deps for now
      
      * fix funnel and deberta tests
      
      * fix fsmt
      
      * fix marian tests
      
      * fix layoutlm
      
      * fix squeezebert and gpt2
      
      * fix T5 tokenization
      
      * fix xlnet tests
      
      * style
      
      * fix mbart
      
      * bump up tokenizers to 0.9.2
      
      * fix model tests
      
      * fix tf models
      
      * fix seq2seq examples
      
      * fix tests without sentencepiece
      
      * fix slow => fast  conversion without sentencepiece
      
      * update auto and bert generation tests
      
      * fix mbart tests
      
      * fix auto and common test without tokenizers
      
      * fix tests without tokenizers
      
      * clean up tests lighten up when tokenizers + sentencepiece are both off
      
      * style quality and tests fixing
      
      * add sentencepiece to doc/examples reqs
      
      * leave sentencepiece on for now
      
      * style quality split hebert and fix pegasus
      
      * WIP Herbert fast
      
      * add sample_text_no_unicode and fix hebert tokenization
      
      * skip FSMT example test for now
      
      * fix style
      
      * fix fsmt in example tests
      
      * update following Lysandre and Sylvain's comments
      
      * Update src/transformers/testing_utils.py
      Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>
      
      * Update src/transformers/testing_utils.py
      Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>
      
      * Update src/transformers/tokenization_utils_base.py
      Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>
      
      * Update src/transformers/tokenization_utils_base.py
      Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>
      Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>
      ba8c4d0a
  3. 08 Oct, 2020 1 commit
    • Thomas Wolf's avatar
      Adding Fast tokenizers for SentencePiece based tokenizers - Breaking: remove... · 9aeacb58
      Thomas Wolf authored
      
      Adding Fast tokenizers for SentencePiece based tokenizers - Breaking: remove Transfo-XL fast tokenizer (#7141)
      
      * [WIP] SP tokenizers
      
      * fixing tests for T5
      
      * WIP tokenizers
      
      * serialization
      
      * update T5
      
      * WIP T5 tokenization
      
      * slow to fast conversion script
      
      * Refactoring to move tokenzier implementations inside transformers
      
      * Adding gpt - refactoring - quality
      
      * WIP adding several tokenizers to the fast world
      
      * WIP Roberta - moving implementations
      
      * update to dev4 switch file loading to in-memory loading
      
      * Updating and fixing
      
      * advancing on the tokenizers - updating do_lower_case
      
      * style and quality
      
      * moving forward with tokenizers conversion and tests
      
      * MBart, T5
      
      * dumping the fast version of transformer XL
      
      * Adding to autotokenizers + style/quality
      
      * update init and space_between_special_tokens
      
      * style and quality
      
      * bump up tokenizers version
      
      * add protobuf
      
      * fix pickle Bert JP with Mecab
      
      * fix newly added tokenizers
      
      * style and quality
      
      * fix bert japanese
      
      * fix funnel
      
      * limite tokenizer warning to one occurence
      
      * clean up file
      
      * fix new tokenizers
      
      * fast tokenizers deep tests
      
      * WIP adding all the special fast tests on the new fast tokenizers
      
      * quick fix
      
      * adding more fast tokenizers in the fast tests
      
      * all tokenizers in fast version tested
      
      * Adding BertGenerationFast
      
      * bump up setup.py for CI
      
      * remove BertGenerationFast (too early)
      
      * bump up tokenizers version
      
      * Clean old docstrings
      
      * Typo
      
      * Update following Lysandre comments
      Co-authored-by: default avatarSylvain Gugger <sylvain.gugger@gmail.com>
      9aeacb58
  4. 01 Jul, 2020 1 commit
  5. 19 May, 2020 1 commit
  6. 15 Jan, 2020 1 commit
  7. 06 Jan, 2020 2 commits
  8. 22 Dec, 2019 7 commits
  9. 21 Dec, 2019 1 commit
    • Aymeric Augustin's avatar
      Reformat source code with black. · fa84ae26
      Aymeric Augustin authored
      This is the result of:
      
          $ black --line-length 119 examples templates transformers utils hubconf.py setup.py
      
      There's a lot of fairly long lines in the project. As a consequence, I'm
      picking the longest widely accepted line length, 119 characters.
      
      This is also Thomas' preference, because it allows for explicit variable
      names, to make the code easier to understand.
      fa84ae26
  10. 06 Dec, 2019 1 commit
    • Aymeric Augustin's avatar
      Remove dependency on pytest for running tests (#2055) · 35401fe5
      Aymeric Augustin authored
      * Switch to plain unittest for skipping slow tests.
      
      Add a RUN_SLOW environment variable for running them.
      
      * Switch to plain unittest for PyTorch dependency.
      
      * Switch to plain unittest for TensorFlow dependency.
      
      * Avoid leaking open files in the test suite.
      
      This prevents spurious warnings when running tests.
      
      * Fix unicode warning on Python 2 when running tests.
      
      The warning was:
      
          UnicodeWarning: Unicode equal comparison failed to convert both arguments to Unicode - interpreting them as being unequal
      
      * Support running PyTorch tests on a GPU.
      
      Reverts 27e015bd.
      
      * Tests no longer require pytest.
      
      * Make tests pass on cuda
      35401fe5
  11. 04 Nov, 2019 1 commit
  12. 22 Oct, 2019 1 commit
  13. 04 Oct, 2019 1 commit
  14. 26 Sep, 2019 1 commit
  15. 19 Sep, 2019 1 commit
  16. 30 Aug, 2019 1 commit
  17. 12 Aug, 2019 1 commit
  18. 05 Aug, 2019 1 commit
  19. 15 Jul, 2019 1 commit
  20. 09 Jul, 2019 2 commits
  21. 05 Jul, 2019 3 commits
  22. 02 Jul, 2019 1 commit
  23. 29 Jun, 2019 1 commit
  24. 22 Jun, 2019 1 commit
  25. 21 Jun, 2019 2 commits