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Hhaiduo
/
custom-resnet50d

Image Classification
Transformers
Safetensors
resnet_demo
custom_code
Model card Files Files and versions
xet
Community

Instructions to use Hhaiduo/custom-resnet50d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Hhaiduo/custom-resnet50d with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="Hhaiduo/custom-resnet50d", trust_remote_code=True)
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoModelForImageClassification
    model = AutoModelForImageClassification.from_pretrained("Hhaiduo/custom-resnet50d", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
custom-resnet50d
103 MB
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  • 1 contributor
History: 2 commits
Hhaiduo's picture
Hhaiduo
Upload model
8f5e05d verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    5.18 kB
    Upload model about 2 years ago
  • config.json
    556 Bytes
    Upload model about 2 years ago
  • configuration_resnet.py
    1.16 kB
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  • model.safetensors
    103 MB
    xet
    Upload model about 2 years ago
  • modeling_resnet.py
    2.82 kB
    Upload model about 2 years ago