Tangshi/README.md

language, license, base_model, pipeline_tag, tags

language	license	base_model	pipeline_tag	tags
zh	apache-2.0	Qwen/Qwen2.5-0.5B	text-generation	唐诗 古诗生成 chinese-poetry qwen2.5

Tangshi｜中文唐诗生成模型

基于Qwen2.5-0.5B微调的古诗专用大模型，擅长自动生成五言/七言绝句、律诗，专为古典诗词创作优化。训练数据为57000首唐诗全参数。

仓库信息

Huggingface地址：Emaoso/Tangshi 包含两类权重：

1. model.safetensors：原生transformers权重，用于Python代码调用
2. model-ollama.gguf：GGUF量化权重，用于Ollama本地部署 附带：Ollama一键构建配置 Modelfile

一、Python Transformers调用（推荐）

1.安装依赖

pip install torch transformers


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代码示例
from transformers import AutoTokenizer, AutoModelForCausalLM

model_name = "Emaoso/Tangshi"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)

# 写诗指令
prompt = "写一首春日五言绝句"
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=80)
result = tokenizer.decode(outputs[0], skip_special_tokens=True)

# 清洗多余注释
import re
result = re.sub(r'（.*|〖.*|见卷.*','',result)
print(result)

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ollama 使用
ollama create tangshi https://huggingface.co/Emaoso/Tangshi/resolve/main/Modelfile
ollama run tangshi