centaline-jiayuan-7b

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匿名用户2024年07月31日
21阅读
所属分类ai、qwen2、pytorch、chat
开源地址https://modelscope.cn/models/wujie1982/centaline-jiayuan-7b
授权协议other

作品详情

Quickstart

from modelscope import AutoModelForCausalLM, AutoTokenizer
device = "cuda" # the device to load the model onto

model = AutoModelForCausalLM.from_pretrained(
    "wujie1982/centaline-jiayuan-7b",
    device_map="auto"
)
tokenizer = AutoTokenizer.from_pretrained("wujie1982/centaline-jiayuan-7b")

prompt = "你是谁?"
messages = [
    {"role": "system", "content": "You are a helpful assistant."},
    {"role": "user", "content": prompt}
]
text = tokenizer.apply_chat_template(
    messages,
    tokenize=False,
    add_generation_prompt=True
)
model_inputs = tokenizer([text], return_tensors="pt").to(device)

generated_ids = model.generate(
    model_inputs.input_ids,
    max_new_tokens=512
)
generated_ids = [
    output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids)
]

response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
print(response)
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