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sazio/skin-mole-vit-onnx
skin-mole-vit-onnx is a image classification model from sazio. Use it when you need a label for an image. It is set up for transformers.js. The card lists the license as mit.
ONNX export (fp32 + 8-bit quantized) of Anwarkh1/SkinCancer-ImageClassification, a ViT-base fine-tuned on HAM10000 (7 skin-lesion classes), packaged for transformers.js in-browser inference.
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From the Hugging Face model README
ONNX export (fp32 + 8-bit quantized) of
Anwarkh1/Skin_Cancer-Image_Classification,
a ViT-base fine-tuned on HAM10000 (7 skin-lesion classes), packaged for
transformers.js in-browser inference.
Quantized model verified to match fp32 predictions on held-out dermoscopy images (<1% probability shift). Used by the MoleCheck Space.
Not a medical device — research/education use only.
import { pipeline } from "@huggingface/transformers";
const classifier = await pipeline("image-classification", "sazio/skin-mole-vit-onnx", { dtype: "q8" });
const preds = await classifier(imageUrl, { top_k: 7 });