metadata
base_model: openai/gpt-oss-20b
datasets:
- kingabzpro/dermatology-qa-firecrawl-dataset
library_name: transformers
model_name: gpt-oss-20b-dermatology-qa
tags:
- generated_from_trainer
- trl
- sft
- dermatology
- medical
licence: license
license: apache-2.0
language:
- en
pipeline_tag: text-generation
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.