Instructions to use drgou/deployathome with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use drgou/deployathome with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://drgou/deployathome") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ff972482af888e92466e50d09da45c6efd26bd786f078599c3f051e581d8ff1f
- Size of remote file:
- 18.6 MB
- SHA256:
- 3d85d00177e104f4b4c570267ae6b29e54ade5778c6ed7ff89960acd3925696c
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