Instructions to use AgamP/MobileNetV2_Food_Classif_e20 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use AgamP/MobileNetV2_Food_Classif_e20 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://AgamP/MobileNetV2_Food_Classif_e20") - Notebooks
- Google Colab
- Kaggle
Upload 2 files
Browse files- mobilenet_config_e100.json +0 -0
- mobilenet_e100.h5 +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:580dab26019431c0bd3b0b892ac9e8efc236cb9e867864f45bf8093af194a2d9
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size 3481592
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