README.md

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license: apache-2.0
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单论对话机器人
调用方式

from transformers import AutoModelForCausalLM, AutoTokenizer


checkpoint = "model"


tokenizer = AutoTokenizer.from_pretrained(checkpoint)

model = AutoModelForCausalLM.from_pretrained(checkpoint).cuda()

text = 'Below is an instruction that describes a task. Write a response that appropriately completes the request.\n\n### Instruction:\n{你想问的文本}\n\n### Response:'


inputs = tokenizer.encode(generate_input(instruction= ”你想问的文本“), return_tensors="pt")


inputs = inputs.to(model.device)

print(inputs)

outputs = model.generate(inputs,num_beams=3,
                        max_new_tokens=1024,
                        penalty_alpha=0.9,
                        repetition_penalty=1.5)
                        
print(tokenizer.decode(outputs[0]))