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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a01e63299c7e1b92a7228a405c13eb207a3953ecda2c2f00043d5e0c1cc00ec6
- Size of remote file:
- 686 MB
- SHA256:
- ad52186be22eec8978dd8eab1b60c24cc2c96d239ed837571a5fbc2ffe303ba0
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