Instructions to use Rathious/NutritionalModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Rathious/NutritionalModel with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Rathious/NutritionalModel") - Notebooks
- Google Colab
- Kaggle
| {"mean": [252.92308044433594, 12.18520736694336, 22.860946655273438, 13.142603874206543], "std": [170.64926147460938, 10.814655303955078, 19.008207321166992, 14.321125030517578]} |