46 lines
1.3 KiB
Python
46 lines
1.3 KiB
Python
import torch
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from modelscope import snapshot_download
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from transformers import AutoModelForCausalLM, AutoTokenizer
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from transformers.generation import GenerationConfig
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from transformers import AutoConfig
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from modeling_qwen import QWenLMHeadModel
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seed = 4321
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torch.manual_seed(seed)
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torch.cuda.manual_seed_all(seed)
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model_dir = snapshot_download("qwen/Qwen-1_8B-Chat")
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# model_dir = "/home/colin/.cache/modelscope/hub/qwen/Qwen-1_8B-Chat"
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config, kwargs = AutoConfig.from_pretrained(
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model_dir,
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return_unused_kwargs=True,
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trust_remote_code=True,
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code_revision=None,
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_commit_hash=None,
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)
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model = QWenLMHeadModel(config)
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tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
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model = model.from_pretrained(
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model_dir, device_map="auto", trust_remote_code=True
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).train()
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# model.train()
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# model.zero_grad()
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# 可指定不同的生成长度、top_p等相关超参
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model.generation_config = GenerationConfig.from_pretrained(
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model_dir, trust_remote_code=True
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)
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# 第一轮对话
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response, history = model.chat(tokenizer, "你好", history=None)
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print(response)
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# 你好！很高兴为你提供帮助。
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# 第二轮对话
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response, history = model.chat(tokenizer, "给我讲一个年轻人奋斗创业最终取得成功的故事。", history=history)
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print(response)
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