Instructions to use sumitranjan/PromptShield with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use sumitranjan/PromptShield with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://sumitranjan/PromptShield") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7f686e947e0b9d36c958512a852baddaabd2b3ff5be7abad2fb11a1fb2755fe1
- Size of remote file:
- 17.1 MB
- SHA256:
- a514807cffabd8abaf028cfaffe7ff0c4f60b97ea2db80c41f14172ae6b018ca
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