Instructions to use kassem112/rare with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kassem112/rare with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="kassem112/rare") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("kassem112/rare") model = AutoModelForImageClassification.from_pretrained("kassem112/rare") - Notebooks
- Google Colab
- Kaggle
rare
Autogenerated by HuggingPics🤗🖼️
Create your own image classifier for anything by running the demo on Google Colab.
Report any issues with the demo at the github repo.
Example Images
ARAB FACE
ASIAN FACE
BLACK FACE
NORTH AFRICAN FACE
WHITE FACE
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Evaluation results
- Accuracyself-reported0.536




