How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-classification", model="EverVissionAI/jansaathi-legal-intent")
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("EverVissionAI/jansaathi-legal-intent")
model = AutoModelForSequenceClassification.from_pretrained("EverVissionAI/jansaathi-legal-intent", device_map="auto")
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JanSaathi InLegalBERT Intent Classifier

Custom fine-tuned legal intent classification model for JanSaathi (AI for Civic & Legal Empowerment).

Classes

  • Cheque_Bounce
  • Civic_Scheme_Info
  • Consumer_Dispute
  • Criminal_FIR
  • Cybercrime
  • Legal_Notice_Contract
  • RERA_RealEstate
  • RTI
  • Tenant_Landlord
  • Workplace_Labour
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Safetensors
Model size
0.1B params
Tensor type
F32
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