README.md

metadata

language: en
license: mit
tags:
  - text-classification
  - transformers
  - legal
  - pdf
datasets:
  - custom
model-index:
  - name: legal_document_classifier
    results: []

Legal Document Classifier

This is a fine-tuned BERT-based model for classifying legal documents into contract, amendment, or other.

Usage

from transformers import AutoTokenizer, AutoModelForSequenceClassification

model = AutoModelForSequenceClassification.from_pretrained("karthikvarunn/legal_document_classifier")
tokenizer = AutoTokenizer.from_pretrained("karthikvarunn/legal_document_classifier")

inputs = tokenizer("Your document text here...", return_tensors="pt")
outputs = model(**inputs)