Update README.md

README.md

@@ -1,5 +1,8 @@
 ---
 license: mit
+language:
+- ja
+library_name: fairseq
 ---
 
 # hubert-base-jtube
@@ -8,15 +11,16 @@ This repo provides model weights for the [hubert-base model](https://arxiv.org/a
 ## Dataset
 We extracted approximately 2720 hours of Japanese speech from the single-speaker subset of the JTubeSpeech corpus.
 The training data includes approximately 6,000,000 utterances from a total of about 55,000 speakers.
+## How to use
 
 # Contributors
-* [中田 亘](https://wataru-nakata.github.io)
-* [関 健太郎](https://trgkpc.github.io/)
-* [谷中 瞳](https://hitomiyanaka.mystrikingly.com/)
-* [佐伯 高明](https://takaaki-saeki.github.io/)
-* [齋藤 佑樹](https://sython.org/)
-* [高道 慎之介](https://sites.google.com/site/shinnosuketakamichi/home)
+* [Wataru Nakata/中田 亘](https://wataru-nakata.github.io)
+* [Kentaro Seki/関 健太郎](https://trgkpc.github.io/)
+* [Hitomi Yanaka/谷中 瞳](https://hitomiyanaka.mystrikingly.com/)
+* [Takaaki Saeki/佐伯 高明](https://takaaki-saeki.github.io/)
+* [Yuki Saito/齋藤 佑樹](https://sython.org/)
+* [Shinnosuke Takamichi/高道 慎之介](https://sites.google.com/site/shinnosuketakamichi/home)
 
 # 謝辞/acknowledgements
 本研究は、国立研究開発法人産業技術総合研究所事業の令和5年度覚醒プロジェクトの助成を受けたものです。
-/This work was supported by AIST KAKUSEI project (FY2023). 
+/This work was supported by AIST KAKUSEI project (FY2023).