63 lines
1.8 KiB
Python
63 lines
1.8 KiB
Python
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# coding=utf-8
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# Copyright 2022 x-plug and The HuggingFace Inc. team. All rights reserved.
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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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"""Tokenization classes for MplugOwl."""
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from transformers.utils import logging
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from transformers.models.llama.tokenization_llama import LlamaTokenizer
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logger = logging.get_logger(__name__)
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VOCAB_FILES_NAMES = {"vocab_file": "vocab.txt"}
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PRETRAINED_VOCAB_FILES_MAP = {
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"vocab_file": {
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"MAGAer13/mplug-owl-llama-7b": "https://huggingface.co/MAGAer13/mplug-owl-llama-7b/resolve/main/vocab.txt",
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},
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}
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PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES = {
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"MAGAer13/mplug-owl-llama-7b": 1024,
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}
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class MplugOwlTokenizer(LlamaTokenizer):
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def __init__(
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self,
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vocab_file,
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unk_token="<unk>",
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bos_token="<s>",
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eos_token="</s>",
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pad_token="<unk>",
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sp_model_kwargs=None,
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add_bos_token=False,
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add_eos_token=False,
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clean_up_tokenization_spaces=False,
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**kwargs,
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):
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super().__init__(
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vocab_file,
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unk_token,
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bos_token,
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eos_token,
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pad_token,
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sp_model_kwargs,
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add_bos_token,
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add_eos_token,
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clean_up_tokenization_spaces,
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**kwargs,
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)
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self.eod_id = self.eos_token_id
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