DeepSeek/DeepSeek-Coder
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ZHU QIHAO 2024-01-05 22:55:28 +08:00 committed by GitHub
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@ -131,7 +131,7 @@ model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-coder-6.7b-in
messages=[ messages=[
{ 'role': 'user', 'content': "write a quick sort algorithm in python."} { 'role': 'user', 'content': "write a quick sort algorithm in python."}
] ]
inputs = tokenizer.apply_chat_template(messages, return_tensors="pt").to(model.device) inputs = tokenizer.apply_chat_template(messages, add_generation_prompt=True, return_tensors="pt").to(model.device)
# 32021 is the id of <|EOT|> token # 32021 is the id of <|EOT|> token
outputs = model.generate(inputs, max_new_tokens=512, do_sample=False, top_k=50, top_p=0.95, num_return_sequences=1, eos_token_id=32021) outputs = model.generate(inputs, max_new_tokens=512, do_sample=False, top_k=50, top_p=0.95, num_return_sequences=1, eos_token_id=32021)
print(tokenizer.decode(outputs[0][len(inputs[0]):], skip_special_tokens=True)) print(tokenizer.decode(outputs[0][len(inputs[0]):], skip_special_tokens=True))