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bunmiaj/nigerian_government_services_gemma3-1b

sourceHugging Faceapache-2.0updated 11mo agoView on Hugging Face
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Nigerian Government Services - Gemma 3 1B

This model is a fine-tuned version of google/gemma-3-1b-it specifically trained for Nigerian government services information and assistance.

Model Description

This model has been fine-tuned to provide information and assistance regarding Nigerian government services, procedures, and general inquiries about government operations.

Intended Uses

  • —Answering questions about Nigerian government services
  • —Providing information on government procedures
  • —Assisting with general government-related inquiries

How to Use

python
from transformers import AutoTokenizer, AutoModelForCausalLM

model_name = "bunmiaj/nigerian_government_services_gemma3-1b"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)

# Example usage
prompt = "How do I apply for a Nigerian passport?"
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_length=512)
response = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(response)

Training Details

  • —Base Model: google/gemma-3-1b-it
  • —Training Data: Nigerian government services dataset (Collected by NCAIR (NITDA) and PublicaAI)
  • —Task: Causal Language Modeling

Limitations

  • —The model may not have information about very recent policy changes
  • —Responses should be verified with official government sources
  • —The model is trained on specific Nigerian government services data

License

This model is based on Gemma and follows the Apache 2.0 license.

Contact

For questions or feedback, please contact the model owner.