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
Upload final_multimodal_model.h5
Browse files
final_multimodal_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:e7c49e143e2805a4f08b26f730a31be311c6a44374fc3e11ddebd6dd4cfa3c3a
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