Instructions to use ibm-granite/granite-3.3-8b-security-lib with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ibm-granite/granite-3.3-8b-security-lib with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ibm-granite/granite-3.3-8b-security-lib", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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# Granite 3.3 Security Library
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The LLM Intrinsics Security Library includes six intrinsics implemented as LoRA adapters for `ibm-granite/granite-3.3-8b-instruct`,
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each of which expects
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Each intrinsic has been developed for a specific task that is likely to be useful for LLM security, privacy or robustness.
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We give a brief overview of the functionality of each intrinsic, as the details can be found in each individual intrinsic readme.
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# Granite 3.3 Security Library
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The LLM Intrinsics Security Library includes six intrinsics implemented as LoRA adapters for `ibm-granite/granite-3.3-8b-instruct`,
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each of which expects a conversation between a user and an AI assistant as input.
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Each intrinsic has been developed for a specific task that is likely to be useful for LLM security, privacy or robustness.
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We give a brief overview of the functionality of each intrinsic, as the details can be found in each individual intrinsic readme.
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