Instructions to use fbadine/image-spam-detection-keras2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use fbadine/image-spam-detection-keras2 with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://fbadine/image-spam-detection-keras2") - Notebooks
- Google Colab
- Kaggle
Uploading model and training information
Browse files- keras_metadata.pb +2 -2
- logs/train/{events.out.tfevents.1675110080.b543a1138ca5.1019.0.v2 → events.out.tfevents.1675848047.b19f155d480b.674.0.v2} +2 -2
- logs/validation/{events.out.tfevents.1675110134.b543a1138ca5.1019.1.v2 → events.out.tfevents.1675848100.b19f155d480b.674.1.v2} +2 -2
- model.png +0 -0
- saved_model.pb +2 -2
- variables/variables.data-00000-of-00001 +2 -2
- variables/variables.index +0 -0
keras_metadata.pb
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logs/train/{events.out.tfevents.1675110080.b543a1138ca5.1019.0.v2 → events.out.tfevents.1675848047.b19f155d480b.674.0.v2}
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logs/validation/{events.out.tfevents.1675110134.b543a1138ca5.1019.1.v2 → events.out.tfevents.1675848100.b19f155d480b.674.1.v2}
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model.png
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saved_model.pb
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variables/variables.data-00000-of-00001
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variables/variables.index
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