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
| This is a fine-tuned MobileNetv2 model on Indian food classification dataset for 80 labels. | |
| Epochs-20 | |
| File saved-.keras |