biogpt-finetuned

BioGPT Fine-Tuned — Biomedical Question Answering

Prepared by: KirubelNigussie Published by: kewserseid

Model Description

This model is a fine-tuned version of microsoft/BioGPT-Large trained for biomedical question answering using the biomedical-instruction-dataset — a mix of multiple biomedical sources covering clinical scenarios, multi-step mechanistic explanations, and factual science recall.

How to Use

from transformers import AutoTokenizer, AutoModelForCausalLM

model_id = "kewserseid/biogpt-finetuned"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)

prompt = "Q: What specific amino acid substitution causes Sickle Cell Anemia? A:"

inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(
    **inputs,
    max_new_tokens=100,
    do_sample=False,
    pad_token_id=tokenizer.eos_token_id
)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

Limitations

• Clinical information should always be verified by a medical professional