Instructions to use HrishiKabra/reefscan-dinov2-coral with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HrishiKabra/reefscan-dinov2-coral with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="HrishiKabra/reefscan-dinov2-coral") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("HrishiKabra/reefscan-dinov2-coral", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload linear_probe/config.json with huggingface_hub
Browse files- linear_probe/config.json +15 -0
linear_probe/config.json
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{
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"stage": "linear_probe",
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"epochs": 10,
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"backbone": "facebook/dinov2-base",
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"classes": [
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"healthy",
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"bleached"
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],
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"best_val_macro_f1": 0.8426970080516112,
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"test": {
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"loss": 0.3451853933930397,
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"acc": 0.8568690095846645,
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"macro_f1": 0.8460430390865173
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}
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}
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