---
language:
- zh
license: apache-2.0
base_model: Qwen/Qwen2.5-0.5B
pipeline_tag: text-generation
tags:
- 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
```bash
pip install torch transformers


====================================
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)

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