metadata
license: apache-2.0
base_model: Qwen/Qwen2-VL-2B-Instruct
tags:
- dermatology
- medical
- vision-language-model
- lora
- indian-health
- peft
datasets:
- marmal88/skin_cancer
- pvlinhk/ISIC2019-full
language:
- en
DermaAI LoRA Adapter — Indian Skin Type Tuned
Fine-tuned LoRA adapter on top of Qwen2-VL-2B-Instruct for clinical dermatological diagnosis
with a specific focus on South Asian skin types (Fitzpatrick IV–VI) and Indian treatment protocols.
Training Data
- HAM10000 (marmal88/skin_cancer): 10,015 dermoscopic images, 7 diagnostic categories
- ISIC 2019 (pvlinhk/ISIC2019-full): 25,000+ images, 8 categories
Capabilities
- Skin lesion morphological description
- Differential diagnosis generation
- Indian pharmacological management (IADVL guidelines)
- Optimized for: Tinea, Psoriasis, Leprosy (Hansen's), Vitiligo, Melanoma, BCC
Usage
from transformers import AutoProcessor, Qwen2VLForConditionalGeneration
from peft import PeftModel
model = Qwen2VLForConditionalGeneration.from_pretrained("Qwen/Qwen2-VL-2B-Instruct")
model = PeftModel.from_pretrained(model, "hssling/derm-analyzer-adapter")
processor = AutoProcessor.from_pretrained("hssling/derm-analyzer-adapter")
Disclaimer
Research use only. Not a substitute for clinical evaluation by a qualified dermatologist.