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centaur31
/
vit-base

Image Feature Extraction
Transformers
PyTorch
google-tensorflow TensorFlow
JAX
vit
Model card Files Files and versions
xet
Community
1

Instructions to use centaur31/vit-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use centaur31/vit-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-feature-extraction", model="centaur31/vit-base")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModel
    
    processor = AutoImageProcessor.from_pretrained("centaur31/vit-base")
    model = AutoModel.from_pretrained("centaur31/vit-base")
  • Notebooks
  • Google Colab
  • Kaggle
vit-base
1.04 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
centaur31's picture
centaur31
Update config.json
c335859 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    28 Bytes
    initial commit over 2 years ago
  • config.json
    487 Bytes
    Update config.json over 2 years ago
  • flax_model.msgpack
    346 MB
    xet
    Upload 5 files over 2 years ago
  • preprocessor_config.json
    160 Bytes
    Upload 5 files over 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    346 MB
    xet
    Upload 5 files over 2 years ago
  • tf_model.h5
    346 MB
    xet
    Upload 5 files over 2 years ago