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") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 976d6146419492afed32bc72fdadfaaa13dad086831ab555cd0216216081967d
- Size of remote file:
- 1.22 MB
- SHA256:
- f868af2e001c1cebb481e0290da01531ebfa6e77fa20e4ae49082b1e847840d3
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