Update README.md

README.md

@@ -17,7 +17,7 @@ The base model pre-trained on 16kHz sampled speech audio. When using the model m
 
 ## Model description
 
-The Sámi Wav2Vec2 Base has the same architecture and uses the same training objective as the English and multilingual one described in [Paper](https://arxiv.org/abs/2006.11477). It is pre-trained on 22.4k hours of unlabeled Sámi speech from [KAVI radio and television archive materials](https://kavi.fi/en/radio-ja-televisioarkistointia-vuodesta-2008/).
+The Sámi Wav2Vec2 Base has the same architecture and uses the same training objective as the English one described in [Paper](https://arxiv.org/abs/2006.11477). It is pre-trained on 22.4k hours of unlabeled Sámi speech from [KAVI radio and television archive materials](https://kavi.fi/en/radio-ja-televisioarkistointia-vuodesta-2008/).
 
 You can read more about the pre-trained model from [this paper](TODO).