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Skin Cancer Image Classification (ViT, HAM10000)

Image generationUnavailable
by CommunityModel ID: anwarkh1-skin-cancer-image-classification

Vision Transformer fine-tuned on the HAM10000 dermatoscopy dataset. Classifies a skin-lesion image into seven categories: melanoma, melanocytic nevi, basal cell carcinoma, actinic keratoses, benign keratosis-like lesions, dermatofibroma and vascular lesions. Research and educational use only, not a diagnostic tool.

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Status
Unavailable
Input → output
Text + Image → Image
Developer
Community
Updated
September 23, 2026

Skin Cancer Image Classification (ViT, HAM10000) is currently unavailable

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Output
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About Skin Cancer Image Classification (ViT, HAM10000)

TL;DRAs of September 23, 2026

Skin Cancer Image Classification (ViT, HAM10000) is a model by Community in the Image generation category. Skin Cancer Image Classification (ViT, HAM10000) is currently not available on Railwail.

ViTForImageClassification model by Anwarkh1, trained on HAM10000 (about 10000 dermatoscopic images of common pigmented skin lesions). Returns a probability over the seven HAM10000 lesion classes for a single input image. It is one of the more downloaded skin-lesion classifiers on the Hugging Face Hub. The model reflects the biases and distribution of its training data and must not be used for medical diagnosis or to make health decisions.
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Pricing

Currently unavailable. There is no price for this model at the moment, so it cannot be run.

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API

Call Skin Cancer Image Classification (ViT, HAM10000) with your Railwail API key. Use this model ID in the request:
anwarkh1-skin-cancer-image-classificationAPI documentationGet an API key

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The public API passes a different input format than this model needs. Use the playground above.

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Specifications

Model ID
anwarkh1-skin-cancer-image-classification
Developer
Community
Category
Image generation
Input
Text, Image
Output
Image
Catalog entry updated
September 23, 2026

Input parameters

Inputs and settings from the model's input schema. The example in the API section shows which of them the API accepts.

  • image
    Type: Text
    Default: –
    Allowed values: –

Tags

  • medical
  • research
  • not-diagnostic
  • dermatology
  • skin-cancer
  • ham10000
  • vit
  • image-classification
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Use cases

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Frequently asked questions

What is Skin Cancer Image Classification (ViT, HAM10000)?

Skin Cancer Image Classification (ViT, HAM10000) is a model by Community in the Image generation category. It is listed on Railwail but cannot be run at the moment.

How much does Skin Cancer Image Classification (ViT, HAM10000) cost on Railwail?

Skin Cancer Image Classification (ViT, HAM10000) cannot be run on Railwail at the moment, so there is no current price. Available alternatives with prices are listed further down this page.

Which settings does Skin Cancer Image Classification (ViT, HAM10000) support?

According to its input schema, Skin Cancer Image Classification (ViT, HAM10000) knows these parameters: image.

How fast is Skin Cancer Image Classification (ViT, HAM10000)?

There are not enough measured runs of Skin Cancer Image Classification (ViT, HAM10000) on Railwail yet to state a run time. It depends on the input, the settings and the load at the provider.

Is Skin Cancer Image Classification (ViT, HAM10000) better than FLUX 1.1 Pro?

That depends on the task. Skin Cancer Image Classification (ViT, HAM10000) (Community) and FLUX 1.1 Pro (Black Forest Labs) are both models in the Image generation category. The comparison page shows their prices and specifications side by side.

Compare Skin Cancer Image Classification (ViT, HAM10000) and FLUX 1.1 Pro

Can Skin Cancer Image Classification (ViT, HAM10000) use an image as input?

Yes. Send the image in the image parameter.

Can I use Skin Cancer Image Classification (ViT, HAM10000) right now?

Currently unavailable. The page stays online; available alternatives from the same category are listed further down.

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