Image Classification
Transformers
Safetensors
English
siglip
Corals
Bleach
Healthy
Classification
Siglip2
ViT
Instructions to use prithivMLmods/Coral-Health with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/Coral-Health with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/Coral-Health") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("prithivMLmods/Coral-Health") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/Coral-Health", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signature097d5da -
Update README.md
Verified signaturea209f37 -
Update README.md
Verified signatureb8fd594 -
Upload folder using huggingface_hub
Verified signature5dbb5b2
-
Update README.md
Verified signaturee6d5976 -
initial commit
Verified signature5e166b4