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# Copyright (C) 2021, PaddleNLP
# This file is distributed under the same license as the PaddleNLP package.
# FIRST AUTHOR <EMAIL@ADDRESS>, 2022.
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#: ../source/paddlenlp.transformers.bigbird.tokenizer.rst:2
msgid "tokenizer"
msgstr ""

#: of paddlenlp.transformers.bigbird.tokenizer.BigBirdTokenizer:1
msgid "基类：:class:`paddlenlp.transformers.tokenizer_utils.PretrainedTokenizer`"
msgstr ""

#: of paddlenlp.transformers.bigbird.tokenizer.BigBirdTokenizer:1
msgid ""
"Constructs an BigBird tokenizer based on `SentencePiece "
"<https://github.com/google/sentencepiece>`__."
msgstr ""

#: of paddlenlp.transformers.bigbird.tokenizer.BigBirdTokenizer:3
msgid ""
"This tokenizer inherits from "
":class:`~paddlenlp.transformers.tokenizer_utils.PretrainedTokenizer` "
"which contains most of the main methods. For more information regarding "
"those methods, please refer to this superclass."
msgstr ""

#: of paddlenlp.transformers.bigbird.tokenizer.BigBirdTokenizer
#: paddlenlp.transformers.bigbird.tokenizer.BigBirdTokenizer.build_inputs_with_special_tokens
#: paddlenlp.transformers.bigbird.tokenizer.BigBirdTokenizer.convert_tokens_to_string
#: paddlenlp.transformers.bigbird.tokenizer.BigBirdTokenizer.encode
#: paddlenlp.transformers.bigbird.tokenizer.BigBirdTokenizer.num_special_tokens_to_add
msgid "参数"
msgstr ""

#: of paddlenlp.transformers.bigbird.tokenizer.BigBirdTokenizer:7
msgid ""
"The vocabulary file (ends with '.spm') required to instantiate a "
"`SentencePiece <https://github.com/google/sentencepiece>`__ tokenizer."
msgstr ""

#: of paddlenlp.transformers.bigbird.tokenizer.BigBirdTokenizer:10
msgid ""
"Whether the text strips accents and convert to Whether or not to "
"lowercase the input when tokenizing. Defaults to`True`."
msgstr ""

#: of paddlenlp.transformers.bigbird.tokenizer.BigBirdTokenizer:14
msgid ""
"A special token representing the *unknown (out-of-vocabulary)* token. An "
"unknown token is set to be `unk_token` inorder to be converted to an ID. "
"Defaults to \"[UNK]\"."
msgstr ""

#: of paddlenlp.transformers.bigbird.tokenizer.BigBirdTokenizer:18
msgid ""
"A special token separating two different sentences in the same input. "
"Defaults to \"[SEP]\"."
msgstr ""

#: of paddlenlp.transformers.bigbird.tokenizer.BigBirdTokenizer:21
msgid ""
"A special token used to make arrays of tokens the same size for batching "
"purposes. Defaults to \"[PAD]\"."
msgstr ""

#: of paddlenlp.transformers.bigbird.tokenizer.BigBirdTokenizer:24
msgid ""
"A special token used for sequence classification. It is the last token of"
" the sequence when built with special tokens. Defaults to \"[CLS]\"."
msgstr ""

#: of paddlenlp.transformers.bigbird.tokenizer.BigBirdTokenizer:27
msgid ""
"A special token representing a masked token. This is the token used in "
"the masked language modeling task which the model tries to predict the "
"original unmasked ones. Defaults to \"[MASK]\"."
msgstr ""

#: of paddlenlp.transformers.bigbird.tokenizer.BigBirdTokenizer
msgid "引发"
msgstr ""

#: of paddlenlp.transformers.bigbird.tokenizer.BigBirdTokenizer:32
msgid "If file sentencepiece_model_file doesn't exist."
msgstr ""

#: of paddlenlp.transformers.bigbird.tokenizer.BigBirdTokenizer.vocab_size:1
msgid "Return the size of vocabulary."
msgstr ""

#: of
#: paddlenlp.transformers.bigbird.tokenizer.BigBirdTokenizer.build_inputs_with_special_tokens
#: paddlenlp.transformers.bigbird.tokenizer.BigBirdTokenizer.convert_tokens_to_string
#: paddlenlp.transformers.bigbird.tokenizer.BigBirdTokenizer.encode
#: paddlenlp.transformers.bigbird.tokenizer.BigBirdTokenizer.num_special_tokens_to_add
#: paddlenlp.transformers.bigbird.tokenizer.BigBirdTokenizer.vocab_size
msgid "返回"
msgstr ""

#: of paddlenlp.transformers.bigbird.tokenizer.BigBirdTokenizer.vocab_size:3
msgid "The size of vocabulary."
msgstr ""

#: of
#: paddlenlp.transformers.bigbird.tokenizer.BigBirdTokenizer.build_inputs_with_special_tokens
#: paddlenlp.transformers.bigbird.tokenizer.BigBirdTokenizer.convert_tokens_to_string
#: paddlenlp.transformers.bigbird.tokenizer.BigBirdTokenizer.encode
#: paddlenlp.transformers.bigbird.tokenizer.BigBirdTokenizer.num_special_tokens_to_add
#: paddlenlp.transformers.bigbird.tokenizer.BigBirdTokenizer.vocab_size
msgid "返回类型"
msgstr ""

#: of
#: paddlenlp.transformers.bigbird.tokenizer.BigBirdTokenizer.convert_tokens_to_string:1
msgid ""
"Converts a sequence of tokens (list of string) to a single string. Since "
"the usage of WordPiece introducing `##` to concat subwords, also removes "
"`##` when converting."
msgstr ""

#: of
#: paddlenlp.transformers.bigbird.tokenizer.BigBirdTokenizer.convert_tokens_to_string:5
msgid "A list of string representing tokens to be converted."
msgstr ""

#: of
#: paddlenlp.transformers.bigbird.tokenizer.BigBirdTokenizer.convert_tokens_to_string:8
msgid "Converted string from tokens."
msgstr ""

#: of
#: paddlenlp.transformers.bigbird.tokenizer.BigBirdTokenizer.convert_tokens_to_string:12
msgid "实际案例"
msgstr ""

#: of paddlenlp.transformers.bigbird.tokenizer.BigBirdTokenizer.encode:1
msgid "Returns a tuple containing the encoded sequence and mask information."
msgstr ""

#: of paddlenlp.transformers.bigbird.tokenizer.BigBirdTokenizer.encode:3
msgid ""
"The first sequence to be encoded. This can be a string, a list of strings"
" (tokenized string using the `tokenize` method) or a list of integers "
"(tokenized string ids using the `convert_tokens_to_ids` method)"
msgstr ""

#: of paddlenlp.transformers.bigbird.tokenizer.BigBirdTokenizer.encode:7
msgid ""
"If set to a number, will limit the total sequence returned so that it has"
" a maximum length. If set to None, will not limit the total sequence. "
"Defaults to None."
msgstr ""

#: of paddlenlp.transformers.bigbird.tokenizer.BigBirdTokenizer.encode:11
msgid ""
"If set to a number, will limit the mask sequence returned so that it has "
"a maximum prediction length. If set to None, will not limit the mask "
"sequence."
msgstr ""

#: of paddlenlp.transformers.bigbird.tokenizer.BigBirdTokenizer.encode:14
msgid "The probability of the token to be masked. Defaults to `0.15`."
msgstr ""

#: of paddlenlp.transformers.bigbird.tokenizer.BigBirdTokenizer.encode:17
msgid ""
"Returns tuple (span_ids, masked_lm_positions, masked_lm_ids, "
"masked_lm_weights)."
msgstr ""

#: of
#: paddlenlp.transformers.bigbird.tokenizer.BigBirdTokenizer.num_special_tokens_to_add:1
msgid ""
"Returns the number of added tokens when encoding a sequence with special "
"tokens."
msgstr ""

#: of
#: paddlenlp.transformers.bigbird.tokenizer.BigBirdTokenizer.num_special_tokens_to_add:3
msgid ""
"Whether the input is a sequence pair or a single sequence. Defaults to "
"`False` and the input is a single sequence."
msgstr ""

#: of
#: paddlenlp.transformers.bigbird.tokenizer.BigBirdTokenizer.num_special_tokens_to_add:7
msgid "Number of tokens added to sequences."
msgstr ""

#: of
#: paddlenlp.transformers.bigbird.tokenizer.BigBirdTokenizer.build_inputs_with_special_tokens:1
msgid ""
"Build model inputs from a sequence or a pair of sequence for sequence "
"classification tasks by concatenating and adding special tokens."
msgstr ""

#: of
#: paddlenlp.transformers.bigbird.tokenizer.BigBirdTokenizer.build_inputs_with_special_tokens:4
msgid "A BigBird sequence has the following format:"
msgstr ""

#: of
#: paddlenlp.transformers.bigbird.tokenizer.BigBirdTokenizer.build_inputs_with_special_tokens:6
msgid "single sequence:      ``[CLS] X [SEP]``"
msgstr ""

#: of
#: paddlenlp.transformers.bigbird.tokenizer.BigBirdTokenizer.build_inputs_with_special_tokens:7
msgid "pair of sequences:        ``[CLS] A [SEP] B [SEP]``"
msgstr ""

#: of
#: paddlenlp.transformers.bigbird.tokenizer.BigBirdTokenizer.build_inputs_with_special_tokens:9
msgid "List of IDs to which the special tokens will be added."
msgstr ""

#: of
#: paddlenlp.transformers.bigbird.tokenizer.BigBirdTokenizer.build_inputs_with_special_tokens:11
msgid "Optional second list of IDs for sequence pairs. Defaults to None."
msgstr ""

#: of
#: paddlenlp.transformers.bigbird.tokenizer.BigBirdTokenizer.build_inputs_with_special_tokens:14
msgid "List of input_id with the appropriate special tokens."
msgstr ""

