Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

zuppif
/
resnetd-152

Transformers
PyTorch
resnetd
Model card Files Files and versions
xet
Community

Instructions to use zuppif/resnetd-152 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use zuppif/resnetd-152 with Transformers:

    # Load model directly
    from transformers import ResNetDForImageClassification
    model = ResNetDForImageClassification.from_pretrained("zuppif/resnetd-152", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
resnetd-152
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
zuppif's picture
zuppif
Add model
ea1c0a8 about 4 years ago
  • .gitattributes
    1.18 kB
    initial commit about 4 years ago
  • config.json
    69.6 kB
    Add model about 4 years ago
  • preprocessor_config.json
    266 Bytes
    Add feature extractor about 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    242 MB
    xet
    Add model about 4 years ago