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Qdrant
/
resnet50-onnx

Image Classification
Transformers
ONNX
Model card Files Files and versions
xet
Community
1

Instructions to use Qdrant/resnet50-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Qdrant/resnet50-onnx with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="Qdrant/resnet50-onnx")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Qdrant/resnet50-onnx", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
resnet50-onnx
94 MB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 3 commits
generall93's picture
generall93
Anush008's picture
Anush008
Created Model card (#1)
43b3ed7 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    872 Bytes
    Created Model card (#1) almost 2 years ago
  • config.json
    2 Bytes
    Upload folder using huggingface_hub almost 2 years ago
  • model.onnx
    94 MB
    xet
    Upload folder using huggingface_hub almost 2 years ago
  • preprocessor_config.json
    734 Bytes
    Upload folder using huggingface_hub almost 2 years ago