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51 lines
1.7 KiB
Python
51 lines
1.7 KiB
Python
# Copyright (c) Facebook, Inc. and its affiliates.
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#
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# This source code is licensed under the MIT license found in the
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# LICENSE file in the root directory of this source tree.
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from dataclasses import dataclass, field
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from fairseq.data.encoders import register_bpe
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from fairseq.dataclass import FairseqDataclass
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from fairseq import file_utils
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@dataclass
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class HuggingFaceByteLevelBPEConfig(FairseqDataclass):
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bpe_merges: str = field(default="???", metadata={"help": "path to merges.txt"})
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bpe_vocab: str = field(default="???", metadata={"help": "path to vocab.json"})
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bpe_add_prefix_space: bool = field(
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default=False, metadata={"help": "add prefix space before encoding"}
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)
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@register_bpe("hf_byte_bpe", dataclass=HuggingFaceByteLevelBPEConfig)
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class HuggingFaceByteLevelBPE(object):
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def __init__(self, cfg):
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try:
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from tokenizers import ByteLevelBPETokenizer
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except ImportError:
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raise ImportError(
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"Please install huggingface/tokenizers with: " "pip install tokenizers"
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)
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bpe_vocab = file_utils.cached_path(cfg.bpe_vocab)
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bpe_merges = file_utils.cached_path(cfg.bpe_merges)
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self.bpe = ByteLevelBPETokenizer(
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bpe_vocab,
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bpe_merges,
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add_prefix_space=cfg.bpe_add_prefix_space,
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)
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def encode(self, x: str) -> str:
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return " ".join(map(str, self.bpe.encode(x).ids))
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def decode(self, x: str) -> str:
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return self.bpe.decode(
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[int(tok) if tok not in {"<unk>", "<mask>"} else tok for tok in x.split()]
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)
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def is_beginning_of_word(self, x: str) -> bool:
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return self.decode(x).startswith(" ")
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