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LegalBertNew
negi2725/LegalBertNew
LegalBertNew is a text classification model from negi2725. Use it when you need a label for a piece of text. It is set up for transformers.
This is a fine-tuned BERT model for binary legal judgment prediction (Guilty / Not Guilty) based on Indian case facts. The model takes raw case text as input and outputs a classification label along with confidence sc…
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Nov 15, 2025
- Updated
- Nov 15, 2025
- SHA
- 39a8da3f
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Model card
From the Hugging Face model README
LegalBertNew — Indian Legal Judgment Classification Model
This is a fine-tuned BERT model for binary legal judgment prediction (Guilty / Not Guilty) based on Indian case facts.
The model takes raw case text as input and outputs a classification label along with confidence scores.
## How to Use
from transformers import pipeline
classifier = pipeline("text-classification", model="negi2725/LegalBertNew")
result = classifier("The accused was found with stolen property.")
print(result)
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Languages
- en
- Created
- Nov 15, 2025
- Updated
- Nov 15, 2025