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:
- a70d0cd1d870d6a38181915f2ee466422adf60a23903ba7733344d2aa9745643
- Size of remote file:
- 4.92 kB
- SHA256:
- 5f13215f8adc64b61ed651172e81d5ad0204d80f5d097274029e531feffb460e
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