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
Download merges.txt from E27085921/HIKARI-Rigel-8B-SkinCaption-LoRA: direct link, hf CLI and curl.
- Browser
- Download file 1.67 MB
-
https://huggingface.co/E27085921/HIKARI-Rigel-8B-SkinCaption-LoRA/resolve/main/merges.txt
- Command line
-
hf download hf://E27085921/HIKARI-Rigel-8B-SkinCaption-LoRA/merges.txt
-
curl -L -o merges.txt https://huggingface.co/E27085921/HIKARI-Rigel-8B-SkinCaption-LoRA/resolve/main/merges.txt
1.67 MB
File too large to display, you can check the raw version instead.