Add bibtex.

README.md

@@ -42,3 +42,18 @@ python Prithvi_run_inference.py --data_files t1.tif t2.tif t3.tif --yaml_file_pa
 
 ### Finetuning examples
 Examples of finetuning the model for image segmentation using the mmsegmentation library are available through Hugging Face (e.g. [burn scars detection](https://huggingface.co/ibm-nasa-geospatial/Prithvi-100M-burn-scar) and [multi temporal crop classification](https://huggingface.co/ibm-nasa-geospatial/Prithvi-100M-multi-temporal-crop-classification)), with the code used for the experiments available on [github](https://github.com/NASA-IMPACT/hls-foundation-os/tree/main/fine-tuning-examples). This also contains instructions to finetune the model for flood detection on the popular open access [sen1floods11 dataset](https://github.com/cloudtostreet/Sen1Floods11).
+
+## Citation
+
+If this repository helped your research, please cite `HLS foundation` in your publications. Here is an example BibTeX entry:
+
+```
+@misc{HLS_Foundation_2023,
+    author = {Roy, Sujit and Ankur, Kumar and Phillips, Christopher and Ramasubramanian, Muthukumaran and Ramachandran, Iksha and Maskey, Manil and Olofossen, Pontus and Lee, Elizabeth and Murphy, Kevin and Duffy, Dan and Little, Mike and Jakubik, Johannes and Chu, Linsong and Fraccaro, Paolo and Das, Ranjini,Kamal and Kimura, Daiki and Simumba, Naomi and Szwarcman, Daniela and Michal, Michal and Weldemariam, Kommy and Zadrozny, Bianca and Ganti, Raghu and Costa, Carlos and Alemohammad, Hamed and Cecil, Michael and Li, Steve and Khallaghi, Sam and Godwin, Denys and Ahmadi, Maryam and Kordi, Fatemeh and Saux, Bertrand and Pastick, Neal and Doucette, Peter and Fleckenstein, Rylie and Luanga, Dalton and Corvin, Alex and Granger, Erwan},
+    doi    = {https://huggingface.co/ibm-nasa-geospatial/Prithvi-100M},
+    month  = aug,
+    title  = {{HLS Foundation}},
+    url    = {https://github.com/nasa-impact/hls-foundation-os},
+    year   = {2023}
+}
+```