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ByT5Tokenizera
Construct a ByT5 tokenizer. ByT5 simply uses raw bytes utf-8 encoding.
This tokenizer inherits from [`PreTrainedTokenizer`] which contains most of the main methods. Users should refer to
this superclass for more information regarding those methods.
Args:
eos_token (`str`, *optional*, defaults to `""`):
The end of sequence token.
When building a sequence using special tokens, this is not the token that is used for the end of sequence.
The token used is the `sep_token`.
unk_token (`str`, *optional*, defaults to `""`):
The unknown token. A token that is not in the vocabulary cannot be converted to an ID and is set to be this
token instead.
pad_token (`str`, *optional*, defaults to `""`):
The token used for padding, for example when batching sequences of different lengths.
extra_ids (`int`, *optional*, defaults to 125):
Add a number of extra ids added to the end of the vocabulary for use as sentinels. These tokens are
accessible as "" where "{%d}" is a number between 0 and extra_ids-1. Extra tokens are
indexed from the end of the vocabulary up to beginning ("" is the last token in the vocabulary
like in ByT5 preprocessing see
[here](https://github.com/google-research/text-to-text-transfer-transformer/blob/9fd7b14a769417be33bc6c850f9598764913c833/t5/data/preprocessors.py#L2117)).
additional_special_tokens (`list[str]`, *optional*):
Additional special tokens used by the tokenizer.
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G z*ByT5Tokenizer.__init__..c S s t dt| v S )Nextra_id)boolstr)xr r r J s z(ByT5Tokenizer.__init__..zBoth extra_ids (z!) and additional_special_tokens (zm) are provided to ByT5Tokenizer. In this case the additional_special_tokens must include the extra_ids tokensT)lstriprstrip)r ) eos_token unk_token pad_token extra_idsadditional_special_tokensr )
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vocab_sizec s zByT5Tokenizer.vocab_sizec s. fddt j j D }| j |S )Nc s i | ]} ||qS r )convert_ids_to_tokensr r6 r r
h r z+ByT5Tokenizer.get_vocab..)r% r7 r, updateadded_tokens_encoder)r0 vocabr r6 r get_vocabg s zByT5Tokenizer.get_vocabF token_ids_0 token_ids_1already_has_special_tokensc sZ |r t j||ddS |du rdgt| dg S dgt| dg dgt| dg S )a
Retrieve sequence ids from a token list that has no special tokens added. This method is called when adding
special tokens using the tokenizer `prepare_for_model` method.
Args:
token_ids_0 (`list[int]`):
List of IDs.
token_ids_1 (`list[int]`, *optional*):
Optional second list of IDs for sequence pairs.
already_has_special_tokens (`bool`, *optional*, defaults to `False`):
Whether or not the token list is already formatted with special tokens for the model.
Returns:
`list[int]`: A list of integers in the range [0, 1]: 1 for a special token, 0 for a sequence token.
T)r> r? r@ Nr r )r. get_special_tokens_maskr& )r0 r> r? r@ r3 r r rA l s (z%ByT5Tokenizer.get_special_tokens_mask token_idsc C s> t |dkr|d | jkrtd| j d |S || jg S )z.Do not add eos again if user already added it.r zThis sequence already has zQ. In future versions this behavior may lead to duplicated eos tokens being added.)r& eos_token_idwarningswarnr )r0 rB r r r _add_eos_if_not_present s z%ByT5Tokenizer._add_eos_if_not_presentc C s< | j g}|du rt|| dg S t|| | | dg S )a
Create a mask from the two sequences passed to be used in a sequence-pair classification task. ByT5 does not
make use of token type ids, therefore a list of zeros is returned.
Args:
token_ids_0 (`list[int]`):
List of IDs.
token_ids_1 (`list[int]`, *optional*):
Optional second list of IDs for sequence pairs.
Returns:
`list[int]`: List of zeros.
Nr )rD r& )r0 r> r? eosr r r $create_token_type_ids_from_sequences s z2ByT5Tokenizer.create_token_type_ids_from_sequencesc C s( | |}|du r |S | |}|| S )a
Build model inputs from a sequence or a pair of sequence for sequence classification tasks by concatenating and
adding special tokens. A sequence has the following format:
- single sequence: `X `
- pair of sequences: `A B `
Args:
token_ids_0 (`list[int]`):
List of IDs to which the special tokens will be added.
token_ids_1 (`list[int]`, *optional*):
Optional second list of IDs for sequence pairs.
Returns:
`list[int]`: List of [input IDs](../glossary#input-ids) with the appropriate special tokens.
N)rG )r0 r> r? r r r build_inputs_with_special_tokens s
z.ByT5Tokenizer.build_inputs_with_special_tokenstextc C s dd | dD }|S )zPTake as input a string and return a list of strings (tokens) for words/sub-wordsc S s g | ]}t |qS r )chrr r r r r s z+ByT5Tokenizer._tokenize..utf-8)encode)r0 rK tokensr r r _tokenize s zByT5Tokenizer._tokenizec C s& t |dkr
d}|S t|| j }|S )z0Converts a token (str) in an id using the vocab.r N)r& ordr, )r0 tokentoken_idr r r _convert_token_to_id s
z"ByT5Tokenizer._convert_token_to_idc C s t || j }|S )z=Converts an index (integer) in a token (str) using the vocab.)rL r, )r0 indexrR r r r _convert_id_to_token s z"ByT5Tokenizer._convert_id_to_tokenc C sh d}|D ]&}|| j v r| j | d}n|| jv r |d}ntt|g}||7 }q|jddd}|S )z:Converts a sequence of tokens (string) in a single string. rM ignore)errors)added_tokens_decoderrN r; bytesrQ decode)r0 rO bstringrR
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