Update README.md

README.md

@@ -20,7 +20,7 @@ The x-large model pre-trained on 16kHz sampled speech audio. When using the mode
 
 The Finnish Wav2Vec2 X-Large has the same architecture and uses the same training objective as the multilingual one described in [paper](https://www.isca-archive.org/interspeech_2022/babu22_interspeech.pdf). It is pre-trained on 158k hours of unlabeled Finnish speech, including [KAVI radio and television archive materials](https://kavi.fi/en/radio-ja-televisioarkistointia-vuodesta-2008/), Lahjoita puhetta (Donate Speech), Finnish Parliament, Finnish VoxPopuli.
 
-You can read more about the pre-trained model from [this paper](TODO).
+You can read more about the pre-trained model from [this paper](TODO). The training scripts are available on [GitHub](https://github.com/aalto-speech/large-scale-monolingual-speech-foundation-models).
 
 ## Intended uses & limitations