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Migga
/
ViT_Chess_DGX_V9

Image Classification
Transformers
PyTorch
vit
Model card Files Files and versions
xet
Community
1

Instructions to use Migga/ViT_Chess_DGX_V9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Migga/ViT_Chess_DGX_V9 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="Migga/ViT_Chess_DGX_V9")
    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("Migga/ViT_Chess_DGX_V9")
    model = AutoModelForImageClassification.from_pretrained("Migga/ViT_Chess_DGX_V9")
  • Notebooks
  • Google Colab
  • Kaggle
ViT_Chess_DGX_V9
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  • 1 contributor
History: 4 commits
Migga's picture
Migga
Upload ViT_Chess_DGX_V9.csv with huggingface_hub
9da2db1 over 3 years ago
  • .gitattributes
    1.34 kB
    initial commit over 3 years ago
  • Loss_vs_Epoch_2022-09-01-02-53.png
    63.6 kB
    Upload Loss_vs_Epoch_2022-09-01-02-53.png with huggingface_hub over 3 years ago
  • ViT_Chess_DGX_V9.csv
    63.6 kB
    Upload ViT_Chess_DGX_V9.csv with huggingface_hub over 3 years ago
  • config.json
    73.5 kB
    add model over 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage"

    What is a pickle import?

    177 MB
    xet
    add model over 3 years ago