How to use from the
Use from the
Keras library
# !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://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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