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grelade
/
mmx-resnet-18

Image Classification
Transformers
PyTorch
google-tensorflow TensorFlow
Safetensors
resnet
image-feature-extraction
vision
Model card Files Files and versions
xet
Community

Instructions to use grelade/mmx-resnet-18 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use grelade/mmx-resnet-18 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="grelade/mmx-resnet-18")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModel
    
    processor = AutoImageProcessor.from_pretrained("grelade/mmx-resnet-18")
    model = AutoModel.from_pretrained("grelade/mmx-resnet-18", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
mmx-resnet-18
141 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
grelade's picture
grelade
Update config.json
79c710c almost 3 years ago
  • .gitattributes
    1.72 kB
    lfs files almost 3 years ago
  • README.md
    2.26 kB
    resnet feature extraction almost 3 years ago
  • config.json
    69.5 kB
    Update config.json almost 3 years ago
  • model.safetensors
    46.8 MB
    xet
    resnet feature extraction almost 3 years ago
  • preprocessor_config.json
    266 Bytes
    resnet feature extraction almost 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    46.8 MB
    xet
    resnet feature extraction almost 3 years ago
  • tf_model.h5
    46.9 MB
    xet
    resnet feature extraction almost 3 years ago