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sgenzer
/
seven-segment-led

Image Classification
Transformers
PyTorch
Safetensors
swin
Trained with AutoTrain
vision
Model card Files Files and versions
xet
Community

Instructions to use sgenzer/seven-segment-led with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use sgenzer/seven-segment-led with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="sgenzer/seven-segment-led")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForImageClassification
    
    processor = AutoImageProcessor.from_pretrained("sgenzer/seven-segment-led")
    model = AutoModelForImageClassification.from_pretrained("sgenzer/seven-segment-led", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
seven-segment-led
221 MB
Ctrl+K
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History: 2 commits
system's picture
system HF Staff
Commit From AutoTrain
136522f almost 3 years ago
  • .gitattributes
    1.66 kB
    Commit From AutoTrain almost 3 years ago
  • README.md
    886 Bytes
    Commit From AutoTrain almost 3 years ago
  • config.json
    1.29 kB
    Commit From AutoTrain almost 3 years ago
  • model.safetensors
    110 MB
    xet
    Commit From AutoTrain almost 3 years ago
  • preprocessor_config.json
    390 Bytes
    Commit From AutoTrain almost 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    110 MB
    xet
    Commit From AutoTrain almost 3 years ago