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SeyedAli
/
Quantized-Remote-Sensing-UAV-image-classification

Image Classification
Transformers
Safetensors
vit
4-bit precision
bitsandbytes
Model card Files Files and versions
xet
Community

Instructions to use SeyedAli/Quantized-Remote-Sensing-UAV-image-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SeyedAli/Quantized-Remote-Sensing-UAV-image-classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="SeyedAli/Quantized-Remote-Sensing-UAV-image-classification")
    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("SeyedAli/Quantized-Remote-Sensing-UAV-image-classification")
    model = AutoModelForImageClassification.from_pretrained("SeyedAli/Quantized-Remote-Sensing-UAV-image-classification")
  • Notebooks
  • Google Colab
  • Kaggle
Quantized-Remote-Sensing-UAV-image-classification
49.6 MB
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  • 1 contributor
History: 3 commits
SeyedAli's picture
SeyedAli
Upload ViTForImageClassification
015c803 verified over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    21 Bytes
    initial commit over 2 years ago
  • config.json
    1.34 kB
    Upload ViTForImageClassification over 2 years ago
  • model.safetensors
    49.6 MB
    xet
    Upload ViTForImageClassification over 2 years ago
  • preprocessor_config.json
    327 Bytes
    Upload feature extractor over 2 years ago