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MoTHer-VTHR
/
VTHR-FT-ModelTree_4-Depth_2-Node_EnNSuGSY

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

Instructions to use MoTHer-VTHR/VTHR-FT-ModelTree_4-Depth_2-Node_EnNSuGSY with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MoTHer-VTHR/VTHR-FT-ModelTree_4-Depth_2-Node_EnNSuGSY with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="MoTHer-VTHR/VTHR-FT-ModelTree_4-Depth_2-Node_EnNSuGSY")
    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("MoTHer-VTHR/VTHR-FT-ModelTree_4-Depth_2-Node_EnNSuGSY")
    model = AutoModelForImageClassification.from_pretrained("MoTHer-VTHR/VTHR-FT-ModelTree_4-Depth_2-Node_EnNSuGSY")
  • Notebooks
  • Google Colab
  • Kaggle
VTHR-FT-ModelTree_4-Depth_2-Node_EnNSuGSY
343 MB
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  • 1 contributor
History: 2 commits
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Eliahu
Upload ViTForImageClassification
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  • .gitattributes
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    initial commit almost 2 years ago
  • README.md
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  • config.json
    1.05 kB
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  • model.safetensors
    343 MB
    xet
    Upload ViTForImageClassification almost 2 years ago