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:
- eb5b324e9f3f6b1f4e6433ba1837378a5e819a12aa75d4dd37e55a4216fced55
- Size of remote file:
- 499 MB
- SHA256:
- 5279082f7f1b6ccb5fc5e9976d54927fe38ff9cd1db49494a098c913188c3153
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