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Emaoso/Tangshi
包含两类权重:model.safetensors:原生transformers权重,用于Python代码调用model-ollama.gguf:GGUF量化权重,用于Ollama本地部署
附带:Ollama一键构建配置 Modelfile1pip install torch transformers
2
3
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5代码示例
6from transformers import AutoTokenizer, AutoModelForCausalLM
7
8model_name = "Emaoso/Tangshi"
9tokenizer = AutoTokenizer.from_pretrained(model_name)
10model = AutoModelForCausalLM.from_pretrained(model_name)
11
12# 写诗指令
13prompt = "写一首春日五言绝句"
14inputs = tokenizer(prompt, return_tensors="pt")
15outputs = model.generate(**inputs, max_new_tokens=80)
16result = tokenizer.decode(outputs[0], skip_special_tokens=True)
17
18# 清洗多余注释
19import re
20result = re.sub(r'(.*|〖.*|见卷.*','',result)
21print(result)
22
23======================================
24ollama 使用
25ollama create tangshi https://huggingface.co/Emaoso/Tangshi/resolve/main/Modelfile
26ollama run tangshi