* This will reduce "Already borrowed error":
Original issue https://github.com/huggingface/tokenizers/issues/537
The original issue is caused by transformers calling many times
mutable functions on the rust tokenizers.
Rust needs to guarantee that only 1 agent has a mutable reference
to memory at a given time (for many reasons which don't need explaining
here). Usually, the rust compiler can guarantee that this property is
true at compile time.
Unfortunately, this is impossible for Python to do that, so PyO3, the
bridge between rust and python used by `tokenizers`, will change the
compile guarantee for a dynamic guarantee, so if multiple agents try
to have multiple mutable borrows at the same time, then the runtime will
yell with "Already borrowed".
The proposed fix here in transformers, is simply to reduce the actual
number of calls that really need mutable borrows. By reducing them,
we reduce the risk of running into "Already borrowed" error.
The caveat is now we add a call to read the current configuration of the
`_tokenizer`, so worst case we have 2 calls instead of 1, and best case
we simply have 1 + a Python comparison of a dict (should be negligible).
* Adding a test.
* trivial error :(.
* Update tests/test_tokenization_fast.py
Co-authored-by: SaulLu <55560583+SaulLu@users.noreply.github.com>
* Adding reference to original issues in the tests.
* Update the tests with fast tokenizer.
Co-authored-by: SaulLu <55560583+SaulLu@users.noreply.github.com>
* feature for tokenizer without slow/legacy version
* format
* modify common test
* add tests
* add PreTrainedTokenizerFast to AutoTokenizer
* format
* change tokenizer common test in order to be able to run test without a slow version
* update tokenizer fast test in order to use `rust_tokenizer_class` attribute instead of `tokenizer_class`
* add autokenizer test
* replace `if self.tokenizer_class is not None` with ` if self.tokenizer_class is None`
* remove obsolete change in comment
* Update src/transformers/tokenization_utils_base.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
* Update src/transformers/tokenization_utils_fast.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* change `get_main_tokenizer` into `get_tokenizers`
* clarify `get_tokenizers` method
* homogenize with `test_slow_tokenizer` and `test_rust_tokenizer`
* add `test_rust_tokenizer = False` to tokenizer which don't define a fast version
* `test_rust_tokenizer = False` for BertJapaneseTokenizer
* `test_rust_tokenizer = False` for BertJapaneseCharacterTokenizationTest
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* splitting fast and slow tokenizers [WIP]
* [WIP] splitting sentencepiece and tokenizers dependencies
* update dummy objects
* add name_or_path to models and tokenizers
* prefix added to file names
* prefix
* styling + quality
* spliting all the tokenizer files - sorting sentencepiece based ones
* update tokenizer version up to 0.9.0
* remove hard dependency on sentencepiece 🎉
* and removed hard dependency on tokenizers 🎉
* update conversion script
* update missing models
* fixing tests
* move test_tokenization_fast to main tokenization tests - fix bugs
* bump up tokenizers
* fix bert_generation
* update ad fix several tokenizers
* keep sentencepiece in deps for now
* fix funnel and deberta tests
* fix fsmt
* fix marian tests
* fix layoutlm
* fix squeezebert and gpt2
* fix T5 tokenization
* fix xlnet tests
* style
* fix mbart
* bump up tokenizers to 0.9.2
* fix model tests
* fix tf models
* fix seq2seq examples
* fix tests without sentencepiece
* fix slow => fast conversion without sentencepiece
* update auto and bert generation tests
* fix mbart tests
* fix auto and common test without tokenizers
* fix tests without tokenizers
* clean up tests lighten up when tokenizers + sentencepiece are both off
* style quality and tests fixing
* add sentencepiece to doc/examples reqs
* leave sentencepiece on for now
* style quality split hebert and fix pegasus
* WIP Herbert fast
* add sample_text_no_unicode and fix hebert tokenization
* skip FSMT example test for now
* fix style
* fix fsmt in example tests
* update following Lysandre and Sylvain's comments
* Update src/transformers/testing_utils.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update src/transformers/testing_utils.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update src/transformers/tokenization_utils_base.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update src/transformers/tokenization_utils_base.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* [WIP] SP tokenizers
* fixing tests for T5
* WIP tokenizers
* serialization
* update T5
* WIP T5 tokenization
* slow to fast conversion script
* Refactoring to move tokenzier implementations inside transformers
* Adding gpt - refactoring - quality
* WIP adding several tokenizers to the fast world
* WIP Roberta - moving implementations
* update to dev4 switch file loading to in-memory loading
* Updating and fixing
* advancing on the tokenizers - updating do_lower_case
* style and quality
* moving forward with tokenizers conversion and tests
* MBart, T5
* dumping the fast version of transformer XL
* Adding to autotokenizers + style/quality
* update init and space_between_special_tokens
* style and quality
* bump up tokenizers version
* add protobuf
* fix pickle Bert JP with Mecab
* fix newly added tokenizers
* style and quality
* fix bert japanese
* fix funnel
* limite tokenizer warning to one occurence
* clean up file
* fix new tokenizers
* fast tokenizers deep tests
* WIP adding all the special fast tests on the new fast tokenizers
* quick fix
* adding more fast tokenizers in the fast tests
* all tokenizers in fast version tested
* Adding BertGenerationFast
* bump up setup.py for CI
* remove BertGenerationFast (too early)
* bump up tokenizers version
* Clean old docstrings
* Typo
* Update following Lysandre comments
Co-authored-by: Sylvain Gugger <sylvain.gugger@gmail.com>
* Improved tokenization with sacremoses
* The TransfoXLTokenizer is now using sacremoses for tokenization
* Added tokenization of comma-separated and floating point numbers.
* Removed prepare_for_tokenization() from tokenization_transfo_xl.py because punctuation is handled by sacremoses
* Added corresponding tests
* Removed test comapring TransfoXLTokenizer and TransfoXLTokenizerFast
* Added deprecation warning to TransfoXLTokenizerFast
* isort change
Co-authored-by: Teven <teven.lescao@gmail.com>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
* Exposing prepare_for_model for both slow & fast tokenizers
* Update method signature
* The traditional style commit
* Hide the warnings behind the verbose flag
* update default truncation strategy and prepare_for_model
* fix tests and prepare_for_models methods
Co-authored-by: Thomas Wolf <thomwolf@users.noreply.github.com>
* avoid recursion in id checks for fast tokenizers
* better typings and fix#5232
* align slow and fast tokenizers behaviors for Roberta and GPT2
* style and quality
* fix tests - improve typings
* fix-5181
Padding to max sequence length while truncation to another length was wrong on slow tokenizers
* clean up and fix#5155
* fix XLM test
* Fix tests for Transfo-XL
* logging only above WARNING in tests
* switch slow tokenizers tests in @slow
* fix Marian truncation tokenization test
* style and quality
* make the test a lot faster by limiting the sequence length used in tests
* Add return lengths
* make pad a bit more flexible so it can be used as collate_fn
* check all kwargs sent to encoding method are known
* fixing kwargs in encodings
* New AddedToken class in python
This class let you specify specifique tokenization behaviors for some special tokens. Used in particular for GPT2 and Roberta, to control how white spaces are stripped around special tokens.
* style and quality
* switched to hugginface tokenizers library for AddedTokens
* up to tokenizer 0.8.0-rc3 - update API to use AddedToken state
* style and quality
* do not raise an error on additional or unused kwargs for tokenize() but only a warning
* transfo-xl pretrained model requires torch
* Update src/transformers/tokenization_utils.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
* 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>
* Renamed num_added_tokens to num_special_tokens_to_add
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Cherry-Pick: Partially fix space only input without special tokens added to the output #3091
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Added property is_fast on PretrainedTokenizer and PretrainedTokenizerFast
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Make fast tokenizers unittests work on Windows.
* Entirely refactored unittest for tokenizers fast.
* Remove ABC class for CommonFastTokenizerTest
* Added embeded_special_tokens tests from allenai @dirkgr
* Make embeded_special_tokens tests from allenai more generic
* Uniformize vocab_size as a property for both Fast and normal tokenizers
* Move special tokens handling out of PretrainedTokenizer (SpecialTokensMixin)
* Ensure providing None input raise the same ValueError than Python tokenizer + tests.
* Fix invalid input for assert_padding when testing batch_encode_plus
* Move add_special_tokens from constructor to tokenize/encode/[batch_]encode_plus methods parameter.
* Ensure tokenize() correctly forward add_special_tokens to rust.
* Adding None checking on top on encode / encode_batch for TransfoXLTokenizerFast.
Avoid stripping on None values.
* unittests ensure tokenize() also throws a ValueError if provided None
* Added add_special_tokens unittest for all supported models.
* Style
* Make sure TransfoXL test run only if PyTorch is provided.
* Split up tokenizers tests for each model type.
* Fix invalid unittest with new tokenizers API.
* Filter out Roberta openai detector models from unittests.
* Introduce BatchEncoding on fast tokenizers path.
This new structure exposes all the mappings retrieved from Rust.
It also keeps the current behavior with model forward.
* Introduce BatchEncoding on slow tokenizers path.
Backward compatibility.
* Improve error message on BatchEncoding for slow path
* Make add_prefix_space True by default on Roberta fast to match Python in majority of cases.
* Style and format.
* Added typing on all methods for PretrainedTokenizerFast
* Style and format
* Added path for feeding pretokenized (List[str]) input to PretrainedTokenizerFast.
* Style and format
* encode_plus now supports pretokenized inputs.
* Remove user warning about add_special_tokens when working on pretokenized inputs.
* Always go through the post processor.
* Added support for pretokenized input pairs on encode_plus
* Added is_pretokenized flag on encode_plus for clarity and improved error message on input TypeError.
* Added pretokenized inputs support on batch_encode_plus
* Update BatchEncoding methods name to match Encoding.
* Bump setup.py tokenizers dependency to 0.7.0rc1
* Remove unused parameters in BertTokenizerFast
* Make sure Roberta returns token_type_ids for unittests.
* Added missing typings
* Update add_tokens prototype to match tokenizers side and allow AddedToken
* Bumping tokenizers to 0.7.0rc2
* Added documentation for BatchEncoding
* Added (unused) is_pretokenized parameter on PreTrainedTokenizer encode_plus/batch_encode_plus methods.
* Added higher-level typing for tokenize / encode_plus / batch_encode_plus.
* Fix unittests failing because add_special_tokens was defined as a constructor parameter on Rust Tokenizers.
* Fix text-classification pipeline using the wrong tokenizer
* Make pipelines works with BatchEncoding
* Turn off add_special_tokens on tokenize by default.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Remove add_prefix_space from tokenize call in unittest.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Style and quality
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Correct message for batch_encode_plus none input exception.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Fix invalid list comprehension for offset_mapping overriding content every iteration.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* TransfoXL uses Strip normalizer.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Bump tokenizers dependency to 0.7.0rc3
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Support AddedTokens for special_tokens and use left stripping on mask for Roberta.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* SpecilaTokenMixin can use slots to faster access to underlying attributes.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Remove update_special_tokens from fast tokenizers.
* Ensure TransfoXL unittests are run only when torch is available.
* Style.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Style
* Style 🙏🙏
* Remove slots on SpecialTokensMixin, need deep dive into pickle protocol.
* Remove Roberta warning on __init__.
* Move documentation to Google style.
Co-authored-by: LysandreJik <lysandre.debut@reseau.eseo.fr>
* Renamed file generate by tokenizers when calling save_pretrained to match python.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Added save_vocabulary tests.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Remove python quick and dirty fix for clean Rust impl.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Bump tokenizers dependency to 0.5.1
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* TransfoXLTokenizerFast uses a json vocabulary file + warning about incompatibility between Python and Rust
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Added some save_pretrained / from_pretrained unittests.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Update tokenizers to 0.5.2
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Quality and format.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* flake8
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Making sure there is really a bug in unittest
* Fix TransfoXL constructor vocab_file / pretrained_vocab_file mixin.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* enable_padding should pad up to max_length if set.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Added more testing on padding.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Correctly return the tuple of generated file(s) when calling save_pretrained
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Quality and format.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Override build_inputs_with_special_tokens for fast impl + unittest.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Quality + format.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Implemented fast version of tokenizers
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Bumped tokenizers version requirements to latest 0.2.1
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Added matching tests
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Matching OpenAI GPT tokenization !
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Matching GPT2 on tokenizers
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Expose add_prefix_space as constructor parameter for GPT2
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Matching Roberta tokenization !
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Removed fast implementation of CTRL.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Binding TransformerXL tokenizers to Rust.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Updating tests accordingly.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Added tokenizers as top-level modules.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Black & isort.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Rename LookupTable to WordLevel to match Rust side.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Black.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Use "fast" suffix instead of "ru" for rust tokenizers implementations.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Introduce tokenize() method on fast tokenizers.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* encode_plus dispatchs to batch_encode_plus
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* batch_encode_plus now dispatchs to encode if there is only one input element.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Bind all the encode_plus parameter to the forwarded batch_encode_plus call.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Bump tokenizers dependency to 0.3.0
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Formatting.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Fix tokenization_auto with support for new (python, fast) mapping schema.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Give correct fixtures path in test_tokenization_fast.py for the CLI.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Expose max_len_ properties on BertTokenizerFast
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Move max_len_ properties to PreTrainedTokenizerFast and override in specific subclasses.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* _convert_encoding should keep the batch axis tensor if only one sample in the batch.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Add warning message for RobertaTokenizerFast if used for MLM.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Added use_fast (bool) parameter on AutoTokenizer.from_pretrained().
This allows to easily enable/disable Rust-based tokenizer instantiation.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Let's tokenizers handle all the truncation and padding stuff.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Allow to provide tokenizer arguments during pipeline creation.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Update test_fill_mask pipeline to not use fast tokenizers.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Fix too much parameters for convert_encoding.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* When enabling padding, max_length should be set to None.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Avoid returning nested tensors of length 1 when calling encode_plus
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Ensure output is padded when return_tensor is not None.
Tensor creation requires the inital list input to be of the exact same size.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Disable transfoxl unittest if pytorch is not available (required to load the model)
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* encode_plus should not remove the leading batch axis if return_tensor is set
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Temporary disable fast tokenizers on QA pipelines.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Fix formatting issues.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Update tokenizers to 0.4.0
* Update style
* Enable truncation + stride unit test on fast tokenizers.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Add unittest ensuring special_tokens set match between Python and Rust.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Ensure special_tokens are correctly set during construction.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Give more warning feedback to the user in case of padding without pad_token.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* quality & format.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Added possibility to add a single token as str
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Added unittest for add_tokens and add_special_tokens on fast tokenizers.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Fix rebase mismatch on pipelines qa default model.
QA requires cased input while the tokenizers would be uncased.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Addressing review comment: Using offset mapping relative to the original string + unittest.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Addressing review comment: save_vocabulary requires folder and file name
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Addressing review comment: Simplify import for Bert.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Addressing review comment: truncate_and_pad disables padding according to the same heuristic than the one enabling padding.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Addressing review comment: Remove private member access in tokenize()
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Addressing review comment: Bump tokenizers dependency to 0.4.2
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* format & quality.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Addressing review comment: Use named arguments when applicable.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Addressing review comment: Add Github link to Roberta/GPT2 space issue on masked input.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Addressing review comment: Move max_len_single_sentence / max_len_sentences_pair to PreTrainedTokenizerFast + tests.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Addressing review comment: Relax type checking to include tuple and list object.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Addressing review comment: Document the truncate_and_pad manager behavior.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Raise an exception if return_offsets_mapping is not available with the current tokenizer.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Ensure padding is set on the tokenizers before setting any padding strategy + unittest.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* On pytorch we need to stack tensor to get proper new axis.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Generalize tests to different framework removing hard written return_tensors="..."
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Bump tokenizer dependency for num_special_tokens_to_add
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Overflowing tokens in batch_encode_plus are now stacked over the batch axis.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Improved error message for padding strategy without pad token.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Bumping tokenizers dependency to 0.5.0 for release.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Optimizing convert_encoding around 4x improvement. 🚀
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* expose pad_to_max_length in encode_plus to avoid duplicating the parameters in kwargs
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Generate a proper overflow_to_sampling_mapping when return_overflowing_tokens is True.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Fix unittests for overflow_to_sampling_mapping not being returned as tensor.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Format & quality.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Remove perfect alignment constraint for Roberta (allowing 1% difference max)
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
* Triggering final CI
Co-authored-by: MOI Anthony <xn1t0x@gmail.com>
