Update README.md

README.md

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 ## Cookbook on Model Usage as a Guardrail
 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.
 [Guardrail Cookbook](https://github.com/ibm-granite-community/granite-code-cookbook/blob/main/recipes/Guard-Rails/HAP.ipynb)
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+## Cookbook on Model Usage for Bulk HAP Annotations of Documents
+This recipe illustrates the use of the model for bulk HAP annotation of documents.  The documents are read from a parquet file. It is then fed to the model sentence by sentence for a document and a HAP score for the document is decided. This is then stored back in the parquet file. [Document Annotation Cookbook](https://github.com/IBM/data-prep-kit/tree/dev/transforms/universal/hap/python)
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 ## Performance Comparison with Other Models
 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).