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
| { | |
| "method": "LAC", | |
| "alpha": 0.1, | |
| "qhat": 0.6280171275138855, | |
| "n_cal": 1562, | |
| "classes": [ | |
| "healthy", | |
| "bleached" | |
| ], | |
| "empirical_coverage_test": 0.9137380191693291, | |
| "avg_set_size_test": 1.1201277955271565, | |
| "model_version": "reefscan-dinov2-coral-v1-linearprobe" | |
| } |