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legal-summarizer-bart
sanatann/legal-summarizer-bart
legal-summarizer-bart is a summarization model from sanatann. Use it when you need a shorter version of a longer text. It is set up for transformers. The card lists the license as mit.
Summarizing long and complex legal documents into short, concise summaries using Transformers.
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At a glance
- Task
- Summarization
- Library
- transformers
- License
- mit
- Model type
- bart
- Access
- Public
- Created
- Apr 10, 2025
- Updated
- Apr 15, 2025
- SHA
- 24c9185b
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Datasets
Model card
From the Hugging Face model README
🧾 Legal Document Summarizer - BART Transformer
Summarizing long and complex legal documents into short, concise summaries using Transformers.
📝 Model Description
This model is a fine-tuned version of facebook/bart-base on a custom legal document dataset.
It is trained to summarize Indian and UK legal texts.
since there is low context size of bert and less legal data please insert text below then 1024 characters
- Model Type: Sequence-to-Sequence
- Task: Summarization of legal documents
- Framework: PyTorch + Hugging Face Transformers
🔗 Hosted Model
Try it here on Hugging Face:
https://huggingface.co/sanatann/legal-summarizer-bart
🚀 Usage Example
from transformers import pipeline
summarizer = pipeline("summarization", model="sanatann/legal-summarizer-bart")
text = "Your long legal document text here... (but should be under 1024 characters)"
summary = summarizer(text)
print(summary)
- Task
- Summarization
- Library
- transformers
- Type
- bart
- License
- mit
- Languages
- en
- Created
- Apr 10, 2025
- Updated
- Apr 15, 2025