Image-Text-to-Text
PEFT
Safetensors
English
Thai
dermatology
medical
lora
skin-disease
qwen3-vl
conversational
Instructions to use E27085921/HIKARI-Rigel-8B-SkinCaption-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use E27085921/HIKARI-Rigel-8B-SkinCaption-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("./skincap_fuzzytopk_s1cascade_classification_merged") model = PeftModel.from_pretrained(base_model, "E27085921/HIKARI-Rigel-8B-SkinCaption-LoRA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 137d45f1e9f7d929618fcdd70ea9f1ddbf45c12981dd43d37e243757c1b98c5f
- Size of remote file:
- 11.4 MB
- SHA256:
- af560c5e5807192776a9f72a0ea33c9331816d9c59af61e02bdf766f8a2a97fb
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