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@@ -83,8 +83,8 @@ def main(
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model = load_peft_model(model, peft_model)
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model.eval()
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-
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- batch = tokenizer(user_prompt, return_tensors="pt")
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+ batch = tokenizer(user_prompt, padding='max_length', truncation=True,max_length=420,return_tensors="pt")
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+ model.resize_token_embeddings(model.config.vocab_size + 1)
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batch = {k: v.to("cuda") for k, v in batch.items()}
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start = time.perf_counter()
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with torch.no_grad():
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