32 lines
896 B
Markdown
32 lines
896 B
Markdown
|
---
|
||
|
|
language:
|
||
|
|
- en
|
||
|
|
license: apache-2.0
|
||
|
|
base_model: Qwen/Qwen2.5-3B-Instruct
|
||
|
|
tags:
|
||
|
|
- legal
|
||
|
|
- contract-analysis
|
||
|
|
- qwen2.5
|
||
|
|
- text-generation
|
||
|
|
datasets:
|
||
|
|
- theatticusproject/cuad-qa
|
||
|
|
pipeline_tag: text-generation
|
||
|
|
---
|
||
|
|
|
||
|
|
# Contract Analysis — Qwen2.5-3B (Merged)
|
||
|
|
|
||
|
|
> LoRA adapter nhẹ hơn: [phamthanhfd/contract-analysis-lora-adapter](https://huggingface.co/phamthanhfd/contract-analysis-lora-adapter)
|
||
|
|
|
||
|
|
## Quick Start
|
||
|
|
|
||
|
|
```python
|
||
|
|
from transformers import pipeline
|
||
|
|
pipe = pipeline("text-generation", model="phamthanhfd/contract-analysis-qwen2.5-3b", device_map="auto")
|
||
|
|
messages = [
|
||
|
|
{"role":"system","content":"You are a legal contract expert. Return JSON with category and summary."},
|
||
|
|
{"role":"user","content":"Analyze: The employee shall not disclose confidential information."}
|
||
|
|
]
|
||
|
|
result = pipe(messages, max_new_tokens=150, temperature=0.1)
|
||
|
|
print(result[0]["generated_text"][-1]["content"])
|
||
|
|
```
|