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alejandroramirezucb
/
glycine-vision-models

Image Classification
Keras
LiteRT
Spanish
agriculture
plant-disease
soybean
computer-vision
tensorflow-lite
edge-ai
Model card Files Files and versions
xet
Community

Instructions to use alejandroramirezucb/glycine-vision-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Keras

    How to use alejandroramirezucb/glycine-vision-models with Keras:

    # Available backend options are: "jax", "torch", "tensorflow".
    import os
    os.environ["KERAS_BACKEND"] = "jax"
    
    import keras
    
    model = keras.saving.load_model("hf://alejandroramirezucb/glycine-vision-models")
    
  • Notebooks
  • Google Colab
  • Kaggle
glycine-vision-models
913 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
alejandroramirezucb's picture
alejandroramirezucb
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  • .gitattributes
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  • README.md
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  • labels_m1.txt
    26 Bytes
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  • labels_m2.txt
    59 Bytes
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  • model1.tflite
    28.8 MB
    xet
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  • model1_binary.keras
    63.3 MB
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  • model1_int8.tflite
    9.35 MB
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  • model2.tflite
    18.7 MB
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  • model2_int8.tflite
    6.15 MB
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  • model2_pathogen.keras
    50.7 MB
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  • model_metadata.json
    1.57 kB
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  • model_seg.keras
    516 MB
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  • model_seg.tflite
    175 MB
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  • model_seg_int8.tflite
    44.7 MB
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