Instructions to use NeuronZero/EyeDiseaseClassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NeuronZero/EyeDiseaseClassifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="NeuronZero/EyeDiseaseClassifier") 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("NeuronZero/EyeDiseaseClassifier") model = AutoModelForImageClassification.from_pretrained("NeuronZero/EyeDiseaseClassifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d3d68e8c3c9ff9fcd275bcaa2b7b3950a32d034832a9f02b780807819c07ff22
- Size of remote file:
- 343 MB
- SHA256:
- 0e3e3c6288acfc26e4de39cb614fc3690345895f13a06290bb087e27b90c2964
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