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from transformers import AutoTokenizer, AutoModelForCausalLM
model_name = "google/gemma-2b"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)
def generate_answers(query):
input_ids = tokenizer(query, return_tensors="pt")
output = model.generate(**input_ids)
return tokenizer.decode(output[0]) |