"examples/summarization/bertabs/configuration_bertabs.py" did not exist on "7296f1010b6faaf3b1fb409bc5a9ebadcea51973"
- 28 Dec, 2021 1 commit
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Patrick von Platen authored
* speed up canine and mluke * speed up mbart and mbart50 toks * upload files
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- 17 Sep, 2021 1 commit
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Li-Huai (Allan) Lin authored
* Fix special tokens not correctly tokenized * Add testing * Fix * Fix * Use user workflows instead of directly assigning variables * Enable test of fast tokenizers * Update test of canine tokenizer
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- 23 Aug, 2021 1 commit
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SaulLu authored
Change how "additional_special_tokens" argument in the ".from_pretrained" method of the tokenizer is taken into account (#13056) * add test * add change in PretrainedTokenizerBase * change Luke * deactivate * add the possibility to add additional special tokens for M2M100 * format * add special test for canine * proposed changes for mbart * proposed changes for mbart50 * proposed changes for byt5 * proposed changes for canine * proposed changes for t5 * test fast and slow * remove comment * remove comment * add fast version for all tests * replace break by continue * add more comments * add check to avoid duplicates * remove comment * format * proposed change for wave2vec2 * reverse changes mbart * uncomment * format
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- 30 Jun, 2021 1 commit
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NielsRogge authored
* First pass * More progress * Add support for local attention * More improvements * More improvements * Conversion script working * Add CanineTokenizer * Make style & quality * First draft of integration test * Remove decoder test * Improve tests * Add documentation * Mostly docs improvements * Add CanineTokenizer tests * Fix most tests on GPU, improve upsampling projection * Address most comments by @dhgarrette * Remove decoder logic * Improve Canine tests, improve docs of CanineConfig * All tokenizer tests passing * Make fix-copies and fix tokenizer tests * Fix test_model_outputs_equivalence test * Apply suggestions from @sgugger's review Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Address some more comments * Add support for hidden_states and attentions of shallow encoders * Define custom CanineModelOutputWithPooling, tests pass * First pass * More progress * Add support for local attention * More improvements * More improvements * Conversion script working * Add CanineTokenizer * Make style & quality * First draft of integration test * Remove decoder test * Improve tests * Add documentation * Mostly docs improvements * Add CanineTokenizer tests * Fix most tests on GPU, improve upsampling projection * Address most comments by @dhgarrette * Remove decoder logic * Improve Canine tests, improve docs of CanineConfig * All tokenizer tests passing * Make fix-copies and fix tokenizer tests * Fix test_model_outputs_equivalence test * Apply suggestions from @sgugger's review Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Address some more comments * Make conversion script work for Canine-c too * Fix tokenizer tests * Remove file Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
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