Thomas WolfandSylvain Gugger
9aeacb58ba
* [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>
73 lines
2.8 KiB
Python
73 lines
2.8 KiB
Python
# coding=utf-8
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# Copyright 2020 The Allen Institute for AI team and The HuggingFace Inc. team.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from .tokenization_roberta import RobertaTokenizer, RobertaTokenizerFast
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from .utils import logging
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logger = logging.get_logger(__name__)
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# vocab and merges same as roberta
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vocab_url = "https://s3.amazonaws.com/models.huggingface.co/bert/roberta-large-vocab.json"
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merges_url = "https://s3.amazonaws.com/models.huggingface.co/bert/roberta-large-merges.txt"
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_all_longformer_models = [
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"allenai/longformer-base-4096",
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"allenai/longformer-large-4096",
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"allenai/longformer-large-4096-finetuned-triviaqa",
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"allenai/longformer-base-4096-extra.pos.embd.only",
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"allenai/longformer-large-4096-extra.pos.embd.only",
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]
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PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES = {
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"allenai/longformer-base-4096": 4096,
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"allenai/longformer-large-4096": 4096,
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"allenai/longformer-large-4096-finetuned-triviaqa": 4096,
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"allenai/longformer-base-4096-extra.pos.embd.only": 4096,
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"allenai/longformer-large-4096-extra.pos.embd.only": 4096,
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}
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class LongformerTokenizer(RobertaTokenizer):
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r"""
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Construct a Longformer tokenizer.
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:class:`~transformers.LongformerTokenizer` is identical to :class:`~transformers.RobertaTokenizer`. Refer to
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the superclass for usage examples and documentation concerning parameters.
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"""
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# merges and vocab same as Roberta
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max_model_input_sizes = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
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pretrained_vocab_files_map = {
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"vocab_file": {m: vocab_url for m in _all_longformer_models},
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"merges_file": {m: merges_url for m in _all_longformer_models},
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}
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class LongformerTokenizerFast(RobertaTokenizerFast):
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r"""
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Construct a "fast" Longformer tokenizer (backed by HuggingFace's `tokenizers` library).
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:class:`~transformers.LongformerTokenizerFast` is identical to :class:`~transformers.RobertaTokenizerFast`. Refer
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to the superclass for usage examples and documentation concerning parameters.
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"""
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# merges and vocab same as Roberta
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max_model_input_sizes = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
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pretrained_vocab_files_map = {
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"vocab_file": {m: vocab_url for m in _all_longformer_models},
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"merges_file": {m: merges_url for m in _all_longformer_models},
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}
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slow_tokenizer_class = LongformerTokenizer
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