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πŸ“Œ Model Details

  • Developed by: gpsworld8800
  • Model type: Large Language Model
  • Architecture: LLaMA
  • Language(s): English / Hindi / Multilingual
  • License: Apache 2.0

πŸ› οΈ Intended Uses

  • Predicting religion/ethnicity from Indian names
  • Research on Indian onomastics & linguistics
  • Educational or demo purposes

⚠️ Not intended for:

  • Making decisions in sensitive contexts (hiring, loans, etc.)
  • Any discriminatory use

πŸ§‘β€πŸ’» How to Use

from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("gpsworld8800/onomastics")
model = AutoModelForCausalLM.from_pretrained("gpsworld8800/onomastics")

inputs = tokenizer("Prathamesh Gate", return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=20)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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llama
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