riaz.somc/transformers
1
0
Fork 0
mirror of https://github.com/huggingface/transformers.git synced 2025-08-01 02:31:11 +06:00
Code Issues Actions 3 Packages Projects Releases Wiki Activity

[Tokenizer Serialization] Fix the broken serialisation (#27099)

Browse Source 
* nits

* nits

* actual fix

* style

* ze fix

* fix fix fix style
This commit is contained in:
Arthur 2023-12-13 09:11:34 +01:00 committed by GitHub
parent f4db565b69
commit 230ac352d8
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
2 changed files with 7 additions and 5 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
src/transformers/models/pegasus/tokenization_pegasus_fast.py
View File

@ -145,6 +145,8 @@ class PegasusTokenizerFast(PreTrainedTokenizerFast):
from_slow = kwargs.pop("from_slow", None)
from_slow = from_slow or str(pad_token) != "<pad>" or str(eos_token) != "</s>" or str(unk_token) != "<unk>"
kwargs.pop("added_tokens_decoder", {})
super().__init__(
vocab_file,
tokenizer_file=tokenizer_file,

10
src/transformers/tokenization_utils_base.py
View File

@ -2235,7 +2235,7 @@ class PreTrainedTokenizerBase(SpecialTokensMixin, PushToHubMixin):
# allows converting a fast -> slow: add the `tokenizer.json`'s `"added_tokens"` to the slow tokenizer
# if `tokenizer_config.json` is `None`
if "Fast" not in cls.__name__ and tokenizer_file is not None:
if tokenizer_file is not None:
# This is for slow so can be done before
with open(tokenizer_file, encoding="utf-8") as tokenizer_file_handle:
tokenizer_file_handle = json.load(tokenizer_file_handle)
@ -2247,14 +2247,14 @@ class PreTrainedTokenizerBase(SpecialTokensMixin, PushToHubMixin):
# end legacy
# Passing AddedTokens and not strings to the class to prevent it from casting the string to a different AddedToken
# convert {'__type': 'AddedToken', 'content': '<ent>', 'lstrip': False, 'normalized': True, ...} to AddedTokens
init_kwargs["added_tokens_decoder"] = added_tokens_decoder
init_kwargs = cls.convert_added_tokens(init_kwargs, save=False)
for key in cls.SPECIAL_TOKENS_ATTRIBUTES & init_kwargs.keys():
if added_tokens_map != {} and init_kwargs[key] is not None:
if key != "additional_special_tokens":
init_kwargs[key] = added_tokens_map.get(init_kwargs[key], init_kwargs[key])
init_kwargs[key] = added_tokens_map.get(str(init_kwargs[key]), init_kwargs[key])
init_kwargs["added_tokens_decoder"] = added_tokens_decoder
# convert {'__type': 'AddedToken', 'content': '<ent>', 'lstrip': False, 'normalized': True, ...} to AddedTokens
init_kwargs = cls.convert_added_tokens(init_kwargs, save=False)
# Instantiate the tokenizer.
try:
tokenizer = cls(*init_inputs, **init_kwargs)