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dima806
/
jellyfish_types_image_detection

Image Classification
Transformers
PyTorch
Safetensors
vit
Model card Files Files and versions
xet
Community

Instructions to use dima806/jellyfish_types_image_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use dima806/jellyfish_types_image_detection with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="dima806/jellyfish_types_image_detection", device_map="auto")
    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("dima806/jellyfish_types_image_detection")
    model = AutoModelForImageClassification.from_pretrained("dima806/jellyfish_types_image_detection", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
jellyfish_types_image_detection / checkpoint-1200
1.03 GB
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  • 1 contributor
History: 1 commit
dima806's picture
dima806
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8920af9 over 2 years ago
  • config.json
    1.01 kB
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  • optimizer.pt
    687 MB
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  • preprocessor_config.json
    325 Bytes
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  • pytorch_model.bin
    343 MB
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  • rng_state.pth
    14.6 kB
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  • scheduler.pt
    627 Bytes
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  • trainer_state.json
    24.5 kB
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  • training_args.bin
    4.03 kB
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