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pawlo2013
/
cloud-classification-vit

Image Classification
Transformers
Safetensors
vit
Model card Files Files and versions
xet
Community

Instructions to use pawlo2013/cloud-classification-vit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use pawlo2013/cloud-classification-vit with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="pawlo2013/cloud-classification-vit")
    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("pawlo2013/cloud-classification-vit")
    model = AutoModelForImageClassification.from_pretrained("pawlo2013/cloud-classification-vit")
  • Notebooks
  • Google Colab
  • Kaggle
cloud-classification-vit
343 MB
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  • 1 contributor
History: 3 commits
pawlo2013's picture
pawlo2013
Upload image processor
f7da4fa verified 12 months ago
  • .gitattributes
    1.52 kB
    initial commit 12 months ago
  • README.md
    5.17 kB
    Upload cloud classification model 12 months ago
  • config.json
    609 Bytes
    Upload cloud classification model 12 months ago
  • model.safetensors
    343 MB
    xet
    Upload cloud classification model 12 months ago
  • preprocessor_config.json
    325 Bytes
    Upload image processor 12 months ago