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from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
MODEL_NAME = "deepseek-ai/deepseek-llm-67b-chat"
def load_model():
tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
model = AutoModelForCausalLM.from_pretrained(
MODEL_NAME, torch_dtype=torch.float16, device_map="auto"
)
return tokenizer, model
tokenizer, model = load_model()
def generate_response(prompt):
inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
outputs = model.generate(**inputs, max_length=500)
return tokenizer.decode(outputs[0], skip_special_tokens=True)
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