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:
- b13c185ee7037ccc7d200a3ec6da6f30debd5ccd06360d4691f8bf666ac57ad3
- Size of remote file:
- 67.2 MB
- SHA256:
- 0961a73116f313ee702185e1126376ce95a7872ec2d107112ad661aea13fc182
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