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Cleanup fast tokenizers integration (#3706)

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* First pass on utility classes and python tokenizers

* finishing cleanup pass

* style and quality

* Fix tests

* Updating following @mfuntowicz comment

* style and quality

* Fix Roberta

* fix batch_size/seq_length inBatchEncoding

* add alignement methods + tests

* Fix OpenAI and Transfo-XL tokenizers

* adding trim_offsets=True default for GPT2 et RoBERTa

* style and quality

* fix tests

* add_prefix_space in roberta

* bump up tokenizers to rc7

* style

* unfortunately tensorfow does like these - removing shape/seq_len for now

* Update src/transformers/tokenization_utils.py

Co-Authored-By: Stefan Schweter <stefan@schweter.it>

* Adding doc and docstrings

* making flake8 happy

Co-authored-by: Stefan Schweter <stefan@schweter.it>
This commit is contained in:
Thomas Wolf
2020-04-18 13:43:57 +02:00
committed by GitHub
parent 60a42ef1c0
commit 827d6d6ef0
28 changed files with 1031 additions and 503 deletions
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7
docs/source/model_doc/roberta.rst
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@@ -46,6 +46,13 @@ RobertaTokenizer
create_token_type_ids_from_sequences, save_vocabulary
RobertaTokenizerFast
~~~~~~~~~~~~~~~~~~~~~
.. autoclass:: transformers.RobertaTokenizerFast
:members: build_inputs_with_special_tokens
RobertaModel
~~~~~~~~~~~~~~~~~~~~