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 HIKARI_logo.png from E27085921/HIKARI-Rigel-8B-SkinCaption-LoRA: direct link, hf CLI and curl.
- Browser
- Download file 6.15 MB
-
https://huggingface.co/E27085921/HIKARI-Rigel-8B-SkinCaption-LoRA/resolve/main/HIKARI_logo.png
- Command line
-
hf download hf://E27085921/HIKARI-Rigel-8B-SkinCaption-LoRA/HIKARI_logo.png
-
curl -L -o HIKARI_logo.png https://huggingface.co/E27085921/HIKARI-Rigel-8B-SkinCaption-LoRA/resolve/main/HIKARI_logo.png
6.15 MB

- Xet hash:
- 010559a98be0904e2101b1766fddec897193c0cc87a1274b09202b6465557657
- Size of remote file:
- 6.15 MB
- SHA256:
- c71f34917e45bf3a1e049667bc543bfb6cb7923ba79a8fd4338df262337b7a39
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