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π Model Details
- Developed by: gpsworld8800
- Model type: Large Language Model
- Architecture: LLaMA
- Language(s): English / Hindi / Multilingual
- License: Apache 2.0
π οΈ Intended Uses
- Predicting religion/ethnicity from Indian names
- Research on Indian onomastics & linguistics
- Educational or demo purposes
β οΈ Not intended for:
- Making decisions in sensitive contexts (hiring, loans, etc.)
- Any discriminatory use
π§βπ» 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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Evaluation results
- accuracy on custom-datasetself-reported0.920