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fix: cap model_max_length sentinel value to prevent OverflowError in … #206

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fix: cap model_max_length sentinel value to prevent OverflowError in … #206

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2 changes: 2 additions & 0 deletions bert_score/utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -188,6 +188,8 @@
def sent_encode(tokenizer, sent):
"Encoding as sentence based on the tokenizer"
sent = sent.strip()
if tokenizer.model_max_length > 1e30:
tokenizer.model_max_length = 512
if sent == "":
return tokenizer.build_inputs_with_special_tokens([])
elif isinstance(tokenizer, GPT2Tokenizer) or isinstance(tokenizer, RobertaTokenizer):
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