How to use from the
Use from the
Keras library
# 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")

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Check out the documentation for more information.

This is a fine-tuned MobileNetv2 model on Indian food classification dataset for 80 labels.

Epochs-20

File saved-.keras

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