Image Classification
Transformers
ONNX
Safetensors
English
vit
vision-transformer
coral
coral-bleaching
NOAA
marine-ecosystem
Eval Results (legacy)
Instructions to use NMFS-OSI/noaa-esd-coral-bleaching-vit-classifier-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NMFS-OSI/noaa-esd-coral-bleaching-vit-classifier-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="NMFS-OSI/noaa-esd-coral-bleaching-vit-classifier-v1") 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("NMFS-OSI/noaa-esd-coral-bleaching-vit-classifier-v1") model = AutoModelForImageClassification.from_pretrained("NMFS-OSI/noaa-esd-coral-bleaching-vit-classifier-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9dfd1596034cbe81bd6715ba87b0f0304d78f2f7384c50de15ebf587c3f6ef39
- Size of remote file:
- 343 MB
- SHA256:
- a0f055483ce001e14a031812e841e256cad5dac40dd1a21b7872d4b7cdc8d433
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