gpt-oss-20b-dermatology-qa

Model Card for gpt-oss-20b-dermatology-qa

This model is a fine-tuned version of openai/gpt-oss-20b on the kingabzpro/dermatology-qa-firecrawl-dataset dataset. It has been trained using TRL.

Quick start

from transformers import pipeline

question = "How does the source suggest clinicians approach the diagnosis of rosacea?"

# Load pipeline
generator = pipeline(
    "text-generation",
    model="kingabzpro/gpt-oss-20b-dermatology-qa",
    device="cuda"  # or device=0
)


# Run inference (passing in chat-style format)
output = generator(
    [{"role": "user", "content": question}],
    max_new_tokens=200,
    return_full_text=False
)[0]

print(output["generated_text"])

# The source says that clinicians should use a combination of clinical signs and symptoms when diagnosing rosacea, rather than relying on a single feature.