Add citation information and link to Github repo (#1)

- Add citation information and link to Github repo (3fba19b40f8a686910f266a47fa0096c296cd68e)


Co-authored-by: Niels Rogge <[email protected]>

README.md

@@ -1,13 +1,13 @@
 ---
-license: apache-2.0
-library_name: transformers
 base_model: openai/whisper-large-v3-turbo
-tags:
-  - audio
-  - automatic-speech-recognition
-  - whisper
-  - hf-asr-leaderboard
+library_name: transformers
+license: apache-2.0
 pipeline_tag: automatic-speech-recognition
+tags:
+- audio
+- automatic-speech-recognition
+- whisper
+- hf-asr-leaderboard
 ---
 
 # Model Card for Lite-Whisper large-v3-turbo
@@ -32,4 +32,20 @@ Following is the average word error rate (WER) evaluated on the [ESB datasets](h
 | [lite-whisper-large-v3-turbo](https://huggingface.co/efficient-speech/lite-whisper-large-v3-turbo) | 12.6 | 374M | 172M |
 | [lite-whisper-large-v3-turbo-fast](https://huggingface.co/efficient-speech/lite-whisper-large-v3-turbo-fast) | 20.1 | 313M | 172M |
 |   |   |   |   |
-| [whisper-medium](https://huggingface.co/openai/whisper-medium) | 14.8 | 306M | 457M |
+| [whisper-medium](https://huggingface.co/openai/whisper-medium) | 14.8 | 306M | 457M |
+
+## Citation
+
+If you use LiteASR in your research, please cite the following paper:
+
+```
+@misc{kamahori2025liteasrefficientautomaticspeech,
+      title={LiteASR: Efficient Automatic Speech Recognition with Low-Rank Approximation}, 
+      author={Keisuke Kamahori and Jungo Kasai and Noriyuki Kojima and Baris Kasikci},
+      year={2025},
+      eprint={2502.20583},
+      archivePrefix={arXiv},
+      primaryClass={cs.LG},
+      url={https://arxiv.org/abs/2502.20583}, 
+}
+```