Instructions to use mohit-20-m/shieldai-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use mohit-20-m/shieldai-models with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://mohit-20-m/shieldai-models") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 89a4dd1a001073a4cef83446eb727b8e756208b8c73c3edac3c8a4aa5bdd35dc
- Size of remote file:
- 884 MB
- SHA256:
- 31b03787074c44fae376251e5e0e4a4aa5e5b3555bd892deb50d8cf11ca86ea8
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