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hf-tiny-model-private
/
tiny-random-EfficientFormerForImageClassification

Image Classification
Transformers
PyTorch
efficientformer
Model card Files Files and versions
xet
Community
1

Instructions to use hf-tiny-model-private/tiny-random-EfficientFormerForImageClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use hf-tiny-model-private/tiny-random-EfficientFormerForImageClassification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="hf-tiny-model-private/tiny-random-EfficientFormerForImageClassification")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoModelForImageClassification
    model = AutoModelForImageClassification.from_pretrained("hf-tiny-model-private/tiny-random-EfficientFormerForImageClassification", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
tiny-random-EfficientFormerForImageClassification
45.8 MB
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  • 1 contributor
History: 2 commits
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hf-transformers-bot
Upload tiny models for EfficientFormerForImageClassification
6c14acf about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • config.json
    1.02 kB
    Upload tiny models for EfficientFormerForImageClassification about 3 years ago
  • preprocessor_config.json
    433 Bytes
    Upload tiny models for EfficientFormerForImageClassification about 3 years ago
  • pytorch_model.bin
    45.8 MB
    xet
    Upload tiny models for EfficientFormerForImageClassification about 3 years ago