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Thastp
/
efficientnet_b0

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

Instructions to use Thastp/efficientnet_b0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Thastp/efficientnet_b0 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="Thastp/efficientnet_b0", trust_remote_code=True)
    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("Thastp/efficientnet_b0", trust_remote_code=True)
    model = AutoModelForImageClassification.from_pretrained("Thastp/efficientnet_b0", trust_remote_code=True)
  • Notebooks
  • Google Colab
  • Kaggle
efficientnet_b0
21.4 MB
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  • 1 contributor
History: 82 commits
Thastp's picture
Thastp
Upload model
51d6616 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    5.17 kB
    Upload model about 1 year ago
  • config.json
    543 Bytes
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  • configuration_efficientnet.py
    1.51 kB
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  • image_processing_efficientnet.py
    2.21 kB
    Upload processor about 1 year ago
  • model.safetensors
    21.4 MB
    xet
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  • modeling_efficientnet.py
    4.12 kB
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  • preprocessor_config.json
    501 Bytes
    Upload processor about 1 year ago