Improve model card: Add pipeline tag, library, license, language, datasets, tags, paper, and GitHub links

This PR enhances the model card for ShiZhi by:
- Adding `pipeline_tag: text-generation` to enable the inference widget and improve discoverability for text generation tasks.
- Updating `library_name` to `transformers` to reflect compatibility with the Hugging Face Transformers library for the base model, which enables the automated "How to use" widget.
- Including `license: apache-2.0`, `language: zh`, and `datasets: TIM0927/CCVG` in the YAML metadata for clearer information and better filtering.
- Adding relevant `tags` such as `peft`, `lora`, `chinese`, `legal`, and `court-view-generation` to improve searchability.
- Adding a prominent link to the Hugging Face paper page: [ShiZhi: A Chinese Lightweight Large Language Model for Court View Generation](https://huggingface.co/papers/2510.09297).
- Including a direct link to the GitHub repository: [https://github.com/ZhitianHou/ShiZhi](https://github.com/ZhitianHou/ShiZhi).
- Removing the redundant license declaration from the Markdown content now that it's in the metadata.

These changes will significantly improve the model's presentation, discoverability, and user experience on the Hugging Face Hub.

README.md

@@ -1,19 +1,28 @@
 ---
 base_model: Qwen2-0.5B-Instruct
-library_name: peft
+library_name: transformers
+license: apache-2.0
+pipeline_tag: text-generation
+language: zh
+datasets:
+  - TIM0927/CCVG
+tags:
+  - peft
+  - lora
+  - chinese
+  - legal
+  - court-view-generation
 ---
 
-# ShiZhi
-
-[中文](README_zh.md) | 🤖[modelscope](https://modelscope.cn/models/freshman8888/LegalReasoningModel)
-
+# ShiZhi: A Chinese Lightweight Large Language Model for Court View Generation
 
+This repository contains **ShiZhi (\u91ca\u4e4b)**, a lightweight large language model designed for Criminal Court View Generation (CVG) in Chinese, as presented in the paper [ShiZhi: A Chinese Lightweight Large Language Model for Court View Generation](https://huggingface.co/papers/2510.09297).
 
+Code: [https://github.com/ZhitianHou/ShiZhi](https://github.com/ZhitianHou/ShiZhi)
 
-ShiZhi (释之) is a lightweight large language model designed for Criminal Court View Generation (CVG) in Chinese.
-Its name comes from the historical figure Zhang Shizhi (张释之), and in Chinese, “释之” also conveys the meaning of “explaining” or “interpreting,” which is particularly suitable for generating the court view section in legal case documents.
-
+[中文](README_zh.md) | 🤖[modelscope](https://modelscope.cn/models/freshman8888/LegalReasoningModel)
 
+Its name comes from the historical figure Zhang Shizhi (\u5f20\u91ca\u4e4b), and in Chinese, \u201c\u91ca\u4e4b\u201d also conveys the meaning of \u201cexplaining\u201d or \u201cinterpreting,\u201d which is particularly suitable for generating the court view section in legal case documents.
 
 ## Model Details
 
@@ -21,14 +30,9 @@ Its name comes from the historical figure Zhang Shizhi (张释之), and in Chine
 
 This model is fine-tuned based on **Qwen2-0.5B-Instruct**, using a dataset of Chinese judicial documents from 1985 to 2021 that has been rigorously cleaned.
 
-
-
 - **Language(s) (NLP):** Chinese/zh
-- **License:** Apache License 2.0
 - **Finetuned from model:** Qwen2-0.5B-Instruct
 
-
-
 ## How to Get Started with the Model
 
 ```python
@@ -55,29 +59,26 @@ engine = PtEngine.from_model_template(model, template, max_batch_size=2)
 request_config = RequestConfig(max_tokens=512, temperature=0)
 
 infer_requests = [
-    InferRequest(messages=[{'role': 'user', 'content': f"事实描述:\n{fact}\n法院推理:\n"}]),
+    InferRequest(messages=[{'role': 'user', 'content': f"事实描述:
+{fact}
+法院推理:
+"}]),
 ]
 resp_list = engine.infer(infer_requests, request_config)
 query0 = infer_requests[0].messages[0]['content']
 print(f'response: {resp_list[0].choices[0].message.content}')
 ```
 
-
-
 ## Training Details
 
 ### Training Data
 
 The training data is a dataset of Chinese judicial documents from 1985 to 2021 that has been rigorously cleaned, [CCVG](https://huggingface.co/datasets/TIM0927/CCVG).
 
-
-
 ### Framework versions
 
 - PEFT 0.12.0
 
-
-
 ## Citation
 
 If you find this project helpful, please consider citing our paper:
@@ -93,8 +94,6 @@ If you find this project helpful, please consider citing our paper:
 }
 ```
 
-
-
 ## Model Disclaimer
 
 1. **Usage Restriction**: This model is developed and provided **exclusively for academic research purposes** , aiming to offer tool support for academic exploration, technical verification, and theoretical research in relevant fields. The use of this model for any commercial purposes (including but not limited to product development, commercial services, profit - making activities, etc.), illegal activities, or scenarios that violate laws, regulations, public order, and good customs is strictly prohibited.