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Update README.md (#1)
Browse files- Update README.md (84c428863a567f76413dac7edcf8671501ab6aae)
Co-authored-by: Bishwaranjan Bhattacharjee <[email protected]>
README.md
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probability = torch.softmax(logits, dim=1).detach().numpy()[:,1].tolist() # Probability of toxicity.
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```
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## Performance Comparison with Other Models
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The model outperforms most popular models with significantly lower inference latency. If a better F1 score is required, please refer to IBM's 12-layer model [here](https://huggingface.co/ibm-granite/granite-guardian-hap-125m).
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probability = torch.softmax(logits, dim=1).detach().numpy()[:,1].tolist() # Probability of toxicity.
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```
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## Cookbook on Model Usage as a Guardrail
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This recipe illustrates the use of the model either in a prompt, the output, or both. This is an example of a “guard rail” typically used in generative AI applications for safety.
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[Guardrail Cookbook](https://github.com/ibm-granite-community/granite-code-cookbook/blob/main/recipes/Guard-Rails/HAP.ipynb)
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## Performance Comparison with Other Models
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The model outperforms most popular models with significantly lower inference latency. If a better F1 score is required, please refer to IBM's 12-layer model [here](https://huggingface.co/ibm-granite/granite-guardian-hap-125m).
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