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Test_RAG.py

@@ -306,6 +306,8 @@ from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
 tokenizer = AutoTokenizer.from_pretrained('meta-llama/Llama-3.2-3B-Instruct')
 if tokenizer.pad_token_id is None:
     tokenizer.pad_token_id = tokenizer.eos_token_id
+# 同时确保 HuggingFacePipeline 使用的 tokenizer 也设置了 pad_token_id
+llm.pipeline.tokenizer.pad_token_id = tokenizer.pad_token_id
 llm.invoke("2 + 2 =")
 import re
 from typing import List