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lilkm
/
resnet10

Image Classification
PyTorch
Safetensors
Transformers
English
resnet10
feature-extraction
jax-conversion
resnet
hil-serl
Lerobot
vision
custom_code
Model card Files Files and versions
xet
Community

Instructions to use lilkm/resnet10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use lilkm/resnet10 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="lilkm/resnet10", trust_remote_code=True)
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("lilkm/resnet10", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
resnet10
19.6 MB
Ctrl+K
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  • 1 contributor
History: 19 commits
lilkm's picture
lilkm HF Staff
Upload ResNet10
5e193f9 verified 19 days ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    2 kB
    Upload README.md with huggingface_hub about 2 months ago
  • config.json
    443 Bytes
    Upload ResNet10 19 days ago
  • configuration_resnet.py
    3.39 kB
    Upload config 19 days ago
  • model.safetensors
    19.6 MB
    xet
    Upload ResNet10 about 1 year ago
  • modeling_resnet.py
    9.89 kB
    Upload ResNet10 19 days ago
  • preprocessor_config.json
    407 Bytes
    Upload processor about 2 months ago