j S r SSKrSSKJrJrJrJrJr SSKJ r SSK
J r SSK J
r
\
R " \5 rSS S
.r " S S \ 5 rS /rg)
z Tokenization class for model T5. N) Tokenizerdecoders normalizerspre_tokenizers
processors)Unigram )TokenizersBackend)loggingz spiece.modelztokenizer.json)
vocab_filetokenizer_filec ~ ^ \ rS rSrSr\rSS/r\r S S\
\ \ \
\
4 - S- 4U 4S jjjrS rS rS
rU =r$ ) T5Tokenizer aN
Construct a T5 tokenizer (backed by HuggingFace's *tokenizers* library). Based on
[Unigram](https://huggingface.co/docs/tokenizers/python/latest/components.html?highlight=unigram#models).
This tokenizer inherits from [`TokenizersBackend`] which contains most of the main methods. Users should
refer to this superclass for more information regarding those methods.
Args:
vocab_file (`str`, *optional*):
[SentencePiece](https://github.com/google/sentencepiece) file (generally has a *.spm* extension) that
contains the vocabulary necessary to instantiate a tokenizer.
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 100):
Add a number of extra ids added to the vocabulary for use as sentinels. These tokens are accessible as
"" where "{%d}" is a number between 0 and extra_ids-1. These tokens can be retrieved by
calling get_sentinel_tokens method and token ids can be by calling get_sentinel_token_ids method
additional_special_tokens (`list[str]`, *optional*):
Additional special tokens used by the tokenizer.
vocab (`str`, `dict` or `list`, *optional*):
Custom vocabulary dict. If not provided, a minimal vocabulary is created using the special tokens.
input_idsattention_maskNvocabc d > X`l Ub~ U V s/ s H n S[ U 5 ; d M U PM n
n [ U
5 S: a$ U[ U5 V s/ s H n SU S3PM sn -
nOIUS: a! U[ U
5 :w a [ SU SU S35 eO![ U5 V s/ s H n SU S3PM n
n U
nUb Xl Od[ U5 S4[ U5 S4[ U5 S4S /U l [ US-
S
S
5 H$ n U R
R
SU S3S45 M& [ [ U R
S S S
95 U l Ub% [ R " U5 U R l [ R " [ R " 5 [ R " SSSS9/5 U R l [$ R " SSSS9U R l [( T U ]T " SUUUUUS.UD6 [, R. " SS// SQSU R0 4/S9U R l g s sn f s sn f s sn f )Nz
r zBoth extra_ids (z!) and additional_special_tokens (zk) are provided to T5Tokenizer. In this case the additional_special_tokens must include the extra_ids tokensg ) ▁g F)unk_id
byte_fallbackr alwaysT) replacementprepend_schemesplit) eos_token unk_token pad_token extra_idsadditional_special_tokens$A)r% r& z$Br& )singlepairspecial_tokens )
_extra_idsstrlenrange
ValueError
_vocab_scoresappendr r
_tokenizerr Precompiled
normalizerr SequenceWhitespaceSplit Metaspace
pre_tokenizerr decodersuper__init__r TemplateProcessing eos_token_idpost_processor)
selfr r r! r" _spm_precompiled_charsmapr# r$ kwargsx extra_tokensi __class__s
ڴC:\Users\johnn\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.13_qbz5n2kfra8p0\LocalCache\local-packages\Python313\site-packages\transformers/models/t5/tokenization_t5.pyr; T5Tokenizer.__init__G sa $ % 0'@['@!LTWXYTZDZA'@L[< 1$)yIY-ZIYA
1#Q.?IY-ZZ)Q 9L0A#A &yk1RSlRm n 8=Y7GH7G!j1 -7GLH(4 % !& Y %Y %Y % "D 9q="b1""))Zs!+-**+ *
&m \-Z Is H#H# H(H-c T [ [ [ S U R 5 5 5 $ )zQGet the list of sentinel tokens (extra_id tokens) from additional_special_tokens.c F [ [ R " SU 5 5 S L$ )Nz)boolresearch)rB s rF 1T5Tokenizer.get_sentinel_tokens.. s bii0A1&E!Fd!R )listsetfilterr$ )r? s rF get_sentinel_tokens T5Tokenizer.get_sentinel_tokens s& RTXTrTrs t
rO c j U R 5 Vs/ s H oR U5 PM sn$ s snf )z&Get the token IDs for sentinel tokens.)rS convert_tokens_to_ids)r? tokens rF get_sentinel_token_ids"T5Tokenizer.get_sentinel_token_ids s. ?C?W?W?YZ?Ye**51?YZZZs 0)r+ r2 r0 )Nr& zzNd N)__name__
__module__ __qualname____firstlineno____doc__VOCAB_FILES_NAMESvocab_files_namesmodel_input_namesr modelr, rP tuplefloatr; rS rX __static_attributes__
__classcell__)rE s @rF r r sx "H *$&67 E 7;"&"&K
T%U
+,,t3K
K
Z
[ [rO r )r_ rK
tokenizersr r r r r tokenizers.modelsr tokenization_utils_tokenizersr
utilsr
get_loggerr[ loggerr` r __all__r* rO rF ro sU ' S S % >
H %#1EUV ~[# ~[B /rO