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nateraw
/
basic-ae-cifar10

Transformers
PyTorch
Model card Files Files and versions
xet
Community
1

Instructions to use nateraw/basic-ae-cifar10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nateraw/basic-ae-cifar10 with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("nateraw/basic-ae-cifar10", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
basic-ae-cifar10
12.9 MB
Ctrl+K
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  • 2 contributors
History: 4 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
616fce7 verified about 1 year ago
  • hf_src
    :tada: init almost 5 years ago
  • .gitattributes
    744 Bytes
    Adding `safetensors` variant of this model about 1 year ago
  • config.json
    123 Bytes
    :tada: init almost 5 years ago
  • model.safetensors
    6.45 MB
    xet
    Adding `safetensors` variant of this model about 1 year ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    6.45 MB
    xet
    :tada: init almost 5 years ago
  • requirements.txt
    0 Bytes
    Create requirements.txt almost 5 years ago