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eos_token="<|endoftext|>",
pad_to_max_length=False,
add_prefix_space=False,
max_length=None,
stride=0,
truncation_strategy="longest_first",
**kwargs
):
super(GPT2TokenizerFast, self).__init__(
bos_token=bos_token, eos_token=eos_token, unk_token=unk_token, **kwargs
)
self._tokenizer = tk.Tokenizer(tk.models.BPE.from_files(vocab_file, merges_file))
self._update_special_tokens()
self._tokenizer.with_pre_tokenizer(tk.pre_tokenizers.ByteLevel.new(add_prefix_space=add_prefix_space))
self._tokenizer.with_decoder(tk.decoders.ByteLevel.new())
if max_length:
self._tokenizer.with_truncation(max_length, stride=stride, strategy=truncation_strategy)
self._tokenizer.with_padding(
max_length=max_length if pad_to_max_length else None,
direction=self.padding_side,
pad_id=self.pad_token_id if self.pad_token_id is not None else 0,
pad_type_id=self.pad_token_type_id,
pad_token=self.pad_token if self.pad_token is not None else "",
)
self._decoder = tk.decoders.ByteLevel.new()
)
self._tokenizer = tk.Tokenizer(tk.models.BPE.from_files(vocab_file, merges_file))
self._update_special_tokens()
self._tokenizer.with_pre_tokenizer(tk.pre_tokenizers.ByteLevel.new(add_prefix_space=add_prefix_space))
self._tokenizer.with_decoder(tk.decoders.ByteLevel.new())
if max_length:
self._tokenizer.with_truncation(max_length, stride=stride, strategy=truncation_strategy)
self._tokenizer.with_padding(
max_length=max_length if pad_to_max_length else None,
direction=self.padding_side,
pad_id=self.pad_token_id if self.pad_token_id is not None else 0,
pad_type_id=self.pad_token_type_id,
pad_token=self.pad_token if self.pad_token is not None else "",
)
self._decoder = tk.decoders.ByteLevel.new()