Grounded-Segment-Anything
/
transformers_4_35_0
/models
/blenderbot_small
/tokenization_blenderbot_small_fast.py
| # coding=utf-8 | |
| # Copyright 2021, The Facebook, Inc. and The HuggingFace Inc. team. All rights reserved. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| """Fast tokenization class for BlenderbotSmall.""" | |
| from typing import List, Optional | |
| from tokenizers import ByteLevelBPETokenizer | |
| from ...tokenization_utils_fast import PreTrainedTokenizerFast | |
| from ...utils import logging | |
| from .tokenization_blenderbot_small import BlenderbotSmallTokenizer | |
| logger = logging.get_logger(__name__) | |
| VOCAB_FILES_NAMES = { | |
| "vocab_file": "vocab.json", | |
| "merges_file": "merges.txt", | |
| "tokenizer_config_file": "tokenizer_config.json", | |
| } | |
| PRETRAINED_VOCAB_FILES_MAP = { | |
| "vocab_file": { | |
| "facebook/blenderbot_small-90M": "https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/vocab.json" | |
| }, | |
| "merges_file": { | |
| "facebook/blenderbot_small-90M": "https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/merges.txt" | |
| }, | |
| "tokenizer_config_file": { | |
| "facebook/blenderbot_small-90M": ( | |
| "https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/tokenizer_config.json" | |
| ) | |
| }, | |
| } | |
| PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES = { | |
| "facebook/blenderbot_small-90M": 512, | |
| } | |
| class BlenderbotSmallTokenizerFast(PreTrainedTokenizerFast): | |
| """ | |
| Construct a "fast" BlenderbotSmall tokenizer (backed by HuggingFace's *tokenizers* library). | |
| Args: | |
| vocab_file (`str`): | |
| Path to the vocabulary file. | |
| """ | |
| vocab_files_names = VOCAB_FILES_NAMES | |
| pretrained_vocab_files_map = PRETRAINED_VOCAB_FILES_MAP | |
| max_model_input_sizes = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES | |
| slow_tokenizer_class = BlenderbotSmallTokenizer | |
| def __init__( | |
| self, | |
| vocab_file=None, | |
| merges_file=None, | |
| unk_token="<|endoftext|>", | |
| bos_token="<|endoftext|>", | |
| eos_token="<|endoftext|>", | |
| add_prefix_space=False, | |
| trim_offsets=True, | |
| **kwargs, | |
| ): | |
| super().__init__( | |
| ByteLevelBPETokenizer( | |
| vocab=vocab_file, | |
| merges=merges_file, | |
| add_prefix_space=add_prefix_space, | |
| trim_offsets=trim_offsets, | |
| ), | |
| bos_token=bos_token, | |
| eos_token=eos_token, | |
| unk_token=unk_token, | |
| **kwargs, | |
| ) | |
| self.add_prefix_space = add_prefix_space | |
| def build_inputs_with_special_tokens(self, token_ids_0, token_ids_1=None): | |
| output = [self.bos_token_id] + token_ids_0 + [self.eos_token_id] | |
| if token_ids_1 is None: | |
| return output | |
| return output + [self.eos_token_id] + token_ids_1 + [self.eos_token_id] | |
| def create_token_type_ids_from_sequences( | |
| self, token_ids_0: List[int], token_ids_1: Optional[List[int]] = None | |
| ) -> List[int]: | |
| """ | |
| Create a mask from the two sequences passed to be used in a sequence-pair classification task. BlenderbotSmall | |
| does not make use of token type ids, therefore a list of zeros is returned. | |
| Args: | |
| token_ids_0 (`List[int]`): | |
| List of IDs. | |
| token_ids_1 (`List[int]`, *optional*): | |
| Optional second list of IDs for sequence pairs. | |
| Returns: | |
| `List[int]`: List of zeros. | |
| """ | |
| sep = [self.sep_token_id] | |
| cls = [self.cls_token_id] | |
| if token_ids_1 is None: | |
| return len(cls + token_ids_0 + sep) * [0] | |
| return len(cls + token_ids_0 + sep + sep + token_ids_1 + sep) * [0] | |
| # Copied from transformers.models.blenderbot.tokenization_blenderbot.BlenderbotTokenizer.default_chat_template | |
| def default_chat_template(self): | |
| """ | |
| A very simple chat template that just adds whitespace between messages. | |
| """ | |
| return ( | |
| "{% for message in messages %}" | |
| "{% if message['role'] == 'user' %}{{ ' ' }}{% endif %}" | |
| "{{ message['content'] }}" | |
| "{% if not loop.last %}{{ ' ' }}{% endif %}" | |
| "{% endfor %}" | |
| "{{ eos_token }}" | |
| ) | |