Update README.md

README.md

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 <strong>Instruction:</strong><br/>
 Given a passage, your task is to extract all entities and identify their entity types. The output should be in a list of tuples of the following format: [("entity 1", "type of entity 1"), ... ].</div>
 
-Check our [paper](https://arxiv.org/abs/2308.03279) for more information.
+Check our [paper](https://arxiv.org/abs/2308.03279) for more information. Check our [repo](https://github.com/universal-ner/universal-ner) about how to use the model.
 
 ## Comparison with [UniNER-7B-definition](https://huggingface.co/datasets/Universal-NER/Pile-NER-definition)
 The UniNER-7B-type model excels when handling entity tags. It performs better on the Universal NER benchmark, which consists of 43 academic datasets across 9 domains. In contrast, UniNER-7B-definition performs better at processing entity types defined in short sentences and is more robust to type paraphrasing.