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#: ../source/paddlenlp.transformers.albert.tokenizer.rst:2
msgid "tokenizer"
msgstr ""

#: of paddlenlp.transformers.albert.tokenizer:1
msgid "Tokenization class for ALBERT model."
msgstr ""

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

#: of paddlenlp.transformers.albert.tokenizer.AlbertTokenizer:1
msgid "Constructs an Albert tokenizer based on SentencePiece or `BertTokenizer`."
msgstr ""

#: of paddlenlp.transformers.albert.tokenizer.AlbertTokenizer: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.albert.tokenizer.AlbertTokenizer
#: paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.build_inputs_with_special_tokens
#: paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.build_offset_mapping_with_special_tokens
#: paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.convert_tokens_to_string
#: paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.create_token_type_ids_from_sequences
#: paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.get_special_tokens_mask
#: paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.num_special_tokens_to_add
#: paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.save_resources
#: paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.tokenize
msgid "参数"
msgstr ""

#: of paddlenlp.transformers.albert.tokenizer.AlbertTokenizer:7
msgid ""
"The vocabulary file path (ends with '.txt') required to instantiate a "
"`WordpieceTokenizer`."
msgstr ""

#: of paddlenlp.transformers.albert.tokenizer.AlbertTokenizer:10
msgid ""
"The vocabulary file (ends with '.spm') required to instantiate a "
"`SentencePiece <https://github.com/google/sentencepiece>`__ tokenizer."
msgstr ""

#: of paddlenlp.transformers.albert.tokenizer.AlbertTokenizer:13
msgid "Whether or not to lowercase the input when tokenizing. Defaults to `True`."
msgstr ""

#: of paddlenlp.transformers.albert.tokenizer.AlbertTokenizer:15
msgid "Whether or note to remove space when tokenizing. Defaults to `True`."
msgstr ""

#: of paddlenlp.transformers.albert.tokenizer.AlbertTokenizer:17
msgid "Whether or note to keep accents when tokenizing. Defaults to `False`."
msgstr ""

#: of paddlenlp.transformers.albert.tokenizer.AlbertTokenizer:19
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.albert.tokenizer.AlbertTokenizer:23
msgid ""
"A special token separating two different sentences in the same input. "
"Defaults to \"[SEP]\"."
msgstr ""

#: of paddlenlp.transformers.albert.tokenizer.AlbertTokenizer:26
msgid ""
"A special token used to make arrays of tokens the same size for batching "
"purposes. Defaults to \"[PAD]\"."
msgstr ""

#: of paddlenlp.transformers.albert.tokenizer.AlbertTokenizer:29
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.albert.tokenizer.AlbertTokenizer:32
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.albert.tokenizer.AlbertTokenizer:38
#: paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.convert_tokens_to_string:10
#: paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.tokenize:10
msgid "实际案例"
msgstr ""

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

#: of
#: paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.build_inputs_with_special_tokens
#: paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.build_offset_mapping_with_special_tokens
#: paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.convert_tokens_to_string
#: paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.create_token_type_ids_from_sequences
#: paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.get_special_tokens_mask
#: paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.num_special_tokens_to_add
#: paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.tokenize
#: paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.vocab_size
msgid "返回"
msgstr ""

#: of paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.vocab_size:3
msgid "The size of vocabulary."
msgstr ""

#: of
#: paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.build_inputs_with_special_tokens
#: paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.build_offset_mapping_with_special_tokens
#: paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.convert_tokens_to_string
#: paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.create_token_type_ids_from_sequences
#: paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.get_special_tokens_mask
#: paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.num_special_tokens_to_add
#: paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.tokenize
#: paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.vocab_size
msgid "返回类型"
msgstr ""

#: of paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.tokenize:1
msgid "Converts a string to a list of tokens."
msgstr ""

#: of paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.tokenize:3
msgid "The text to be tokenized."
msgstr ""

#: of paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.tokenize:6
msgid "A list of string representing converted tokens."
msgstr ""

#: of
#: paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.convert_tokens_to_string:1
msgid "Converts a sequence of tokens (list of string) to a single string."
msgstr ""

#: of
#: paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.convert_tokens_to_string:3
msgid "A list of string representing tokens to be converted."
msgstr ""

#: of
#: paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.convert_tokens_to_string:6
msgid "Converted string from tokens."
msgstr ""

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

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

#: of
#: paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.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.albert.tokenizer.AlbertTokenizer.build_inputs_with_special_tokens:4
msgid "An Albert sequence has the following format:"
msgstr ""

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

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

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

#: of
#: paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.build_inputs_with_special_tokens:11
#: paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.get_special_tokens_mask:6
msgid "Optional second list of IDs for sequence pairs. Defaults to None."
msgstr ""

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

#: of
#: paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.build_offset_mapping_with_special_tokens:1
msgid ""
"Build offset map from a pair of offset map by concatenating and adding "
"offsets of special tokens."
msgstr ""

#: of
#: paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.build_offset_mapping_with_special_tokens:3
msgid "A Albert offset_mapping has the following format:"
msgstr ""

#: of
#: paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.build_offset_mapping_with_special_tokens:5
msgid "single sequence:      ``(0,0) X (0,0)``"
msgstr ""

#: of
#: paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.build_offset_mapping_with_special_tokens:6
msgid "pair of sequences:        ``(0,0) A (0,0) B (0,0)``"
msgstr ""

#: of
#: paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.build_offset_mapping_with_special_tokens:8
msgid "List of wordpiece offsets to which the special tokens will be added."
msgstr ""

#: of
#: paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.build_offset_mapping_with_special_tokens:10
msgid ""
"Optional second list of wordpiece offsets for offset mapping pairs. "
"Defaults to None."
msgstr ""

#: of
#: paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.build_offset_mapping_with_special_tokens:13
msgid ""
"A list of wordpiece offsets with the appropriate offsets of special "
"tokens."
msgstr ""

#: of
#: paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.get_special_tokens_mask:1
msgid ""
"Retrieves sequence ids from a token list that has no special tokens "
"added. This method is called when adding special tokens using the "
"tokenizer ``encode`` methods."
msgstr ""

#: of
#: paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.get_special_tokens_mask:4
msgid "A list of `inputs_ids` for the first sequence."
msgstr ""

#: of
#: paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.get_special_tokens_mask:8
msgid ""
"Whether or not the token list is already formatted with special tokens "
"for the model. Defaults to None."
msgstr ""

#: of
#: paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.get_special_tokens_mask:12
msgid ""
"The list of integers either be 0 or 1: 1 for a special token, 0 for a "
"sequence token."
msgstr ""

#: of
#: paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.create_token_type_ids_from_sequences:1
msgid ""
"Create a mask from the two sequences passed to be used in a sequence-pair"
" classification task."
msgstr ""

#: of
#: paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.create_token_type_ids_from_sequences:3
msgid ""
"Should be overridden in a subclass if the model has a special way of "
"building those."
msgstr ""

#: of
#: paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.create_token_type_ids_from_sequences:6
msgid ""
"If `token_ids_1` is `None`, this method only returns the first portion of"
" the mask (0s)."
msgstr ""

#: of
#: paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.create_token_type_ids_from_sequences:8
msgid "List of IDs."
msgstr ""

#: of
#: paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.create_token_type_ids_from_sequences:10
msgid "Optional second list of IDs for sequence pairs."
msgstr ""

#: of
#: paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.create_token_type_ids_from_sequences:13
msgid "List of token_type_id according to the given sequence(s)."
msgstr ""

#: of paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.save_resources:1
msgid ""
"Save tokenizer related resources to `resource_files_names` indicating "
"files under `save_directory` by copying directly. Override it if "
"necessary."
msgstr ""

#: of paddlenlp.transformers.albert.tokenizer.AlbertTokenizer.save_resources:4
msgid "Directory to save files into."
msgstr ""

