Tokenizers v3.0.0 (#3185)

* 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>

src/transformers/tokenization_bert.py

@@ -592,8 +592,6 @@ class BertTokenizerFast(PreTrainedTokenizerFast):
         self,
         vocab_file,
         do_lower_case=True,
-        do_basic_tokenize=True,
-        never_split=None,
         unk_token="[UNK]",
         sep_token="[SEP]",
         pad_token="[PAD]",
@@ -601,7 +599,6 @@ class BertTokenizerFast(PreTrainedTokenizerFast):
         mask_token="[MASK]",
         clean_text=True,
         tokenize_chinese_chars=True,
-        add_special_tokens=True,
         strip_accents=True,
         wordpieces_prefix="##",
         **kwargs
@@ -609,7 +606,6 @@ class BertTokenizerFast(PreTrainedTokenizerFast):
         super().__init__(
             BertWordPieceTokenizer(
                 vocab_file=vocab_file,
-                add_special_tokens=add_special_tokens,
                 unk_token=unk_token,
                 sep_token=sep_token,
                 cls_token=cls_token,