Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

nateraw
/
autoencoder-cifar10

Transformers
PyTorch
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use nateraw/autoencoder-cifar10 with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("nateraw/autoencoder-cifar10", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
autoencoder-cifar10
6.46 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 5 commits
naterawdata@gmail.com
commit files to HF hub
3c19b7f almost 5 years ago
  • hf_src
    commit files to HF hub almost 5 years ago
  • .gitattributes
    690 Bytes
    initial commit almost 5 years ago
  • config.json
    123 Bytes
    Add model almost 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    6.45 MB
    xet
    commit files to HF hub almost 5 years ago
  • requirements.txt
    47 Bytes
    commit files to HF hub almost 5 years ago