Update README.md

README.md

@@ -9,7 +9,9 @@ inference: false
 Its architecture is similar to the [HuBERT model](https://huggingface.co/docs/transformers/model_doc/hubert), but it has been specifically designed for music through the use of specialized pre-training strategies. 
 It is SOTA-comparable on multiple MIR tasks even under probing settings, while keeping fine-tunable on a single 2080Ti. 
 It outperforms Jukebox representation on GTZAN (genre classification) and GiantSteps (key classification) datasets.
-Larger models trained with more data are on the way~
+Larger models trained with more data are on the way.
+
+Noted: we also release a pre-trained MIR model [music2vec](https://huggingface.co/m-a-p/music2vec-v1/blob/main/README.md) before, which shares similar model structure but has weaker performance.
 
 ![Performance Comparison](mert.png)