1. 20 Jun, 2023 1 commit
  2. 06 Feb, 2023 1 commit
    • Sylvain Gugger's avatar
      Update quality tooling for formatting (#21480) · 6f79d264
      Sylvain Gugger authored
      * Result of black 23.1
      
      * Update target to Python 3.7
      
      * Switch flake8 to ruff
      
      * Configure isort
      
      * Configure isort
      
      * Apply isort with line limit
      
      * Put the right black version
      
      * adapt black in check copies
      
      * Fix copies
      6f79d264
  3. 14 Nov, 2022 1 commit
  4. 14 Oct, 2022 1 commit
  5. 01 Jun, 2022 1 commit
  6. 12 May, 2022 1 commit
  7. 03 May, 2022 1 commit
    • Yih-Dar's avatar
      Move test model folders (#17034) · 19420fd9
      Yih-Dar authored
      
      
      * move test model folders (TODO: fix imports and others)
      
      * fix (potentially partially) imports (in model test modules)
      
      * fix (potentially partially) imports (in tokenization test modules)
      
      * fix (potentially partially) imports (in feature extraction test modules)
      
      * fix import utils.test_modeling_tf_core
      
      * fix path ../fixtures/
      
      * fix imports about generation.test_generation_flax_utils
      
      * fix more imports
      
      * fix fixture path
      
      * fix get_test_dir
      
      * update module_to_test_file
      
      * fix get_tests_dir from wrong transformers.utils
      
      * update config.yml (CircleCI)
      
      * fix style
      
      * remove missing imports
      
      * update new model script
      
      * update check_repo
      
      * update SPECIAL_MODULE_TO_TEST_MAP
      
      * fix style
      
      * add __init__
      
      * update self-scheduled
      
      * fix add_new_model scripts
      
      * check one way to get location back
      
      * python setup.py build install
      
      * fix import in test auto
      
      * update self-scheduled.yml
      
      * update slack notification script
      
      * Add comments about artifact names
      
      * fix for yolos
      Co-authored-by: default avatarydshieh <ydshieh@users.noreply.github.com>
      19420fd9
  8. 23 Feb, 2022 1 commit
  9. 03 Jan, 2022 1 commit
  10. 23 Aug, 2021 1 commit
  11. 31 Mar, 2021 1 commit
  12. 13 Jan, 2021 1 commit
    • Lysandre Debut's avatar
      Fix slow tests v4.2.0 (#9561) · c9495166
      Lysandre Debut authored
      * Fix conversational pipeline test
      
      * LayoutLM
      
      * ProphetNet
      
      * BART
      
      * Blenderbot & small
      
      * Marian
      
      * mBART
      
      * Pegasus
      
      * Tapas tokenizer
      
      * BERT2BERT test
      
      * Style
      
      * Example requirements
      
      * TF BERT2BERT test
      c9495166
  13. 12 Jan, 2021 1 commit
    • Sylvain Gugger's avatar
      Refactor `prepare_seq2seq_batch` (#9524) · 063d8d27
      Sylvain Gugger authored
      * Add target contextmanager and rework prepare_seq2seq_batch
      
      * Fix tests, treat BART and Barthez
      
      * Add last tokenizers
      
      * Fix test
      
      * Set src token before calling the superclass
      
      * Remove special behavior for T5
      
      * Remove needless imports
      
      * Remove needless asserts
      063d8d27
  14. 11 Jan, 2021 1 commit
  15. 15 Dec, 2020 1 commit
    • NielsRogge's avatar
      [WIP] Tapas v4 (tres) (#9117) · 1551e2dc
      NielsRogge authored
      
      
      * First commit: adding all files from tapas_v3
      
      * Fix multiple bugs including soft dependency and new structure of the library
      
      * Improve testing by adding torch_device to inputs and adding dependency on scatter
      
      * Use Python 3 inheritance rather than Python 2
      
      * First draft model cards of base sized models
      
      * Remove model cards as they are already on the hub
      
      * Fix multiple bugs with integration tests
      
      * All model integration tests pass
      
      * Remove print statement
      
      * Add test for convert_logits_to_predictions method of TapasTokenizer
      
      * Incorporate suggestions by Google authors
      
      * Fix remaining tests
      
      * Change position embeddings sizes to 512 instead of 1024
      
      * Comment out positional embedding sizes
      
      * Update PRETRAINED_VOCAB_FILES_MAP and PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      
      * Added more model names
      
      * Fix truncation when no max length is specified
      
      * Disable torchscript test
      
      * Make style & make quality
      
      * Quality
      
      * Address CI needs
      
      * Test the Masked LM model
      
      * Fix the masked LM model
      
      * Truncate when overflowing
      
      * More much needed docs improvements
      
      * Fix some URLs
      
      * Some more docs improvements
      
      * Test PyTorch scatter
      
      * Set to slow + minify
      
      * Calm flake8 down
      
      * First commit: adding all files from tapas_v3
      
      * Fix multiple bugs including soft dependency and new structure of the library
      
      * Improve testing by adding torch_device to inputs and adding dependency on scatter
      
      * Use Python 3 inheritance rather than Python 2
      
      * First draft model cards of base sized models
      
      * Remove model cards as they are already on the hub
      
      * Fix multiple bugs with integration tests
      
      * All model integration tests pass
      
      * Remove print statement
      
      * Add test for convert_logits_to_predictions method of TapasTokenizer
      
      * Incorporate suggestions by Google authors
      
      * Fix remaining tests
      
      * Change position embeddings sizes to 512 instead of 1024
      
      * Comment out positional embedding sizes
      
      * Update PRETRAINED_VOCAB_FILES_MAP and PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      
      * Added more model names
      
      * Fix truncation when no max length is specified
      
      * Disable torchscript test
      
      * Make style & make quality
      
      * Quality
      
      * Address CI needs
      
      * Test the Masked LM model
      
      * Fix the masked LM model
      
      * Truncate when overflowing
      
      * More much needed docs improvements
      
      * Fix some URLs
      
      * Some more docs improvements
      
      * Add add_pooling_layer argument to TapasModel
      
      Fix comments by @sgugger and @patrickvonplaten
      
      * Fix issue in docs + fix style and quality
      
      * Clean up conversion script and add task parameter to TapasConfig
      
      * Revert the task parameter of TapasConfig
      
      Some minor fixes
      
      * Improve conversion script and add test for absolute position embeddings
      
      * Improve conversion script and add test for absolute position embeddings
      
      * Fix bug with reset_position_index_per_cell arg of the conversion cli
      
      * Add notebooks to the examples directory and fix style and quality
      
      * Apply suggestions from code review
      
      * Move from `nielsr/` to `google/` namespace
      
      * Apply Sylvain's comments
      Co-authored-by: default avatarsgugger <sylvain.gugger@gmail.com>
      Co-authored-by: default avatarRogge Niels <niels.rogge@howest.be>
      Co-authored-by: default avatarLysandreJik <lysandre.debut@reseau.eseo.fr>
      Co-authored-by: default avatarLysandre Debut <lysandre@huggingface.co>
      Co-authored-by: default avatarsgugger <sylvain.gugger@gmail.com>
      1551e2dc