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![]() * Create modeling_tf_dpr.py * Add TFDPR * Add back TFPegasus, TFMarian, TFMBart, TFBlenderBot last commit accidentally deleted these 4 lines, so I recover them back * Add TFDPR * Add TFDPR * clean up some comments, add TF input-style doc string * Add TFDPR * Make return_dict=False as default * Fix return_dict bug (in .from_pretrained) * Add get_input_embeddings() * Create test_modeling_tf_dpr.py The current version is already passed all 27 tests! Please see the test run at : https://colab.research.google.com/drive/1czS_m9zy5k-iSJbzA_DP1k1xAAC_sdkf?usp=sharing * fix quality * delete init weights * run fix copies * fix repo consis * del config_class, load_tf_weights They shoud be 'pytorch only' * add config_class back after removing it, test failed ... so totally only removing "use_tf_weights = None" on Lysandre suggestion * newline after .. note:: * import tf, np (Necessary for ModelIntegrationTest) * slow_test from_pretrained with from_pt=True At the moment we don't have TF weights (since we don't have official official TF model) Previously, I did not run slow test, so I missed this bug * Add simple TFDPRModelIntegrationTest Note that this is just a test that TF and Pytorch gives approx. the same output. However, I could not test with the official DPR repo's output yet * upload correct tf model * remove position_ids as missing keys Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by: patrickvonplaten <patrick@huggingface.co> |
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.. | ||
_static | ||
imgs | ||
internal | ||
main_classes | ||
model_doc | ||
benchmarks.rst | ||
bertology.rst | ||
conf.py | ||
contributing.md | ||
converting_tensorflow_models.rst | ||
custom_datasets.rst | ||
examples.md | ||
favicon.ico | ||
glossary.rst | ||
index.rst | ||
installation.md | ||
migration.md | ||
model_sharing.rst | ||
model_summary.rst | ||
multilingual.rst | ||
notebooks.md | ||
perplexity.rst | ||
philosophy.rst | ||
preprocessing.rst | ||
pretrained_models.rst | ||
quicktour.rst | ||
serialization.rst | ||
task_summary.rst | ||
testing.rst | ||
tokenizer_summary.rst | ||
training.rst |