fix #1819
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@ -182,7 +182,7 @@ def resize_embedding_layer(model: "PreTrainedModel", tokenizer: "PreTrainedToken
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return
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old_vocab_size = model.get_input_embeddings().weight.size(0)
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if len(tokenizer) != old_vocab_size:
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if len(tokenizer) > old_vocab_size:
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model.resize_token_embeddings(len(tokenizer), pad_to_multiple_of=64)
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new_vocab_size = model.get_input_embeddings().weight.size(0)
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logger.info("Resized token embeddings from {} to {}.".format(old_vocab_size, new_vocab_size))
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