Update README.md

README.md

@@ -25,4 +25,18 @@ datasets:
 **Longformer** uses a combination of a sliding window (*local*) attention and *global* attention. Global attention is user-configured based on the task to allow the model to learn task-specific representations.
 
 
-This model was made following the research done by [Iz Beltagy and Matthew E. Peters and Arman Cohan](https://arxiv.org/abs/2004.05150).
+This model was made following the research done by [Iz Beltagy and Matthew E. Peters and Arman Cohan](https://arxiv.org/abs/2004.05150).
+
+## Citation
+If you want to cite this model you can use this:
+
+```bibtex
+@misc{mromero2022longformer-base-4096-spanish,
+  title={Spanish LongFormer by Manuel Romero},
+  author={Romero, Manuel},
+  publisher={Hugging Face},
+  journal={Hugging Face Hub},
+  howpublished={\url{https://huggingface.co/mrm8488/longformer-base-4096-spanish}},
+  year={2022}
+}
+```