"examples/legacy/pytorch-lightning/run_ner.py" did not exist on "84c265ffcc622bf279337548787fa54a5ebac61e"
- 14 Oct, 2022 1 commit
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Yih-Dar authored
Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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- 10 Oct, 2022 1 commit
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Partho authored
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- 09 Sep, 2022 1 commit
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Matt authored
* Fix train_step and test_step, correctly enable CLIP fit test * Stop using get_args on older Python versions * Don't use get_origin either * UnionType is actually even newer, don't use that either * Apply the same fix to test_loss_computation * Just realized I was accidentally skipping a bunch of tests! * Fix test_loss_computation for models without separable labels * Fix scalar losses in test_step and train_step * Stop committing your breakpoints * Fix Swin loss shape * Fix Tapas loss shape * Shape fixes for TAPAS, DeIT, HuBERT and ViTMAE * Add loss computation to TFMobileBertForPreTraining * make fixup and move copied from statement * make fixup and move copied from statement * Correct copied from * Add labels and next_sentence_label inputs to TFMobileBERT * Make sure total_loss is always defined * Update tests/test_modeling_tf_common.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Fix copied from * Ensure CTC models get labels in tests * Ensure CTC models get labels in tests * Fix tests for vit_mae * Fix tests for vit_mae * Fix tests for vit_mae * Reduce batch size for wav2vec2 testing because it was causing OOM * Skip some TAPAS tests that are failing * Skip a failing HuBERT test * make style * Fix mobilebertforpretraining test * Skip Wav2Vec2 tests that use huge amounts of mem * Skip keras_fit for Wav2Vec2 as well Co-authored-by:
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- 06 Jun, 2022 1 commit
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Matt authored
* Add method to call to_tf_dataset() with column inference * Add test for dataset creation * Add a default arg for data collator * Fix test * Fix call with non-dev version of datasets * Test correct column removal too * make fixup * More tests to make sure we remove unwanted columns * Fix test to avoid predicting on unbuilt models * Fix test to avoid predicting on unbuilt models * Fix test to remove unwanted head mask columns from inputs * Stop pushing your debug breakpoints to the main repo of the $2bn company you work for * Skip the test in convnext because no grouped conv support * Drop bools from the dataset dict * Make style * Skip the training test for models whose input dicts don't give us labels * Skip transformerXL in the test because it doesn't return a simple loss * Skip TFTapas because of some odd NaN losses * make style * make fixup * Add docstring * fixup * Update src/transformers/modeling_tf_utils.py Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/modeling_tf_utils.py Co-authored-by:
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- 01 Jun, 2022 1 commit
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Yih-Dar authored
Co-authored-by:
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- 12 May, 2022 1 commit
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Sylvain Gugger authored
* Black preview * Fixup too! * Fix check copies * Use the same version as the CI * Bump black
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- 03 May, 2022 1 commit
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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:
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