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:
- befc0cce683227c64869ebc694cafe754e77f11c7681595b5123f346e410ca59
- Size of remote file:
- 884 MB
- SHA256:
- 86d335c5cb8efe0536b2dc7353ed68a641d0bed13f066b2158addabcca97e92f
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