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Migga
/
ViT_Chess_DGX_V7

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

Instructions to use Migga/ViT_Chess_DGX_V7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Migga/ViT_Chess_DGX_V7 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="Migga/ViT_Chess_DGX_V7")
    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_V7")
    model = AutoModelForImageClassification.from_pretrained("Migga/ViT_Chess_DGX_V7")
  • Notebooks
  • Google Colab
  • Kaggle
ViT_Chess_DGX_V7
693 MB
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  • 1 contributor
History: 4 commits
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SFconvertbot
Adding `safetensors` variant of this model
2bced88 verified over 1 year ago
  • .gitattributes
    1.39 kB
    Adding `safetensors` variant of this model over 1 year ago
  • Loss_vs_Epoch_2022-08-31-19-29.png
    59.8 kB
    Upload Loss_vs_Epoch_2022-08-31-19-29.png with huggingface_hub almost 4 years ago
  • config.json
    73.5 kB
    add model almost 4 years ago
  • model.safetensors
    347 MB
    xet
    Adding `safetensors` variant of this model over 1 year ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    347 MB
    xet
    add model almost 4 years ago