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[FIX] In SentencePieceBPETokenizer, when Vocab or merges is None, unk_token cannot be used. (#1120)

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* [fix] Use unk_token

In SentencePieceBPETokenizer, when Vocab or  merges is None, unk_token cannot be used.

* [fix] If unk_token is None, this case is also considered.

* Update bindings/python/py_src/tokenizers/implementations/sentencepiece_bpe.py

Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>

Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
This commit is contained in:
SeongBeomLEE
2022-12-19 21:40:04 +09:00
committed by GitHub
parent 102dfe87a3
commit 9a25b2cb8e
1 changed files with 1 additions and 1 deletions
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bindings/python/py_src/tokenizers/implementations/sentencepiece_bpe.py
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@@ -26,7 +26,7 @@ class SentencePieceBPETokenizer(BaseTokenizer):
if vocab is not None and merges is not None:
tokenizer = Tokenizer(BPE(vocab, merges, dropout=dropout, unk_token=unk_token, fuse_unk=fuse_unk))
else:
tokenizer = Tokenizer(BPE())
tokenizer = Tokenizer(BPE(dropout=dropout, unk_token=unk_token, fuse_unk=fuse_unk))
if tokenizer.token_to_id(str(unk_token)) is not None:
tokenizer.add_special_tokens([str(unk_token)])