Update README.md

README.md

@@ -265,7 +265,7 @@ The compression module is a light-weight transformer that takes as input the hid
 
 ## Version
 
-This version of ZeroSwot is trained with ASR data from CommonVoice, and adapted [wav2vec2.0-large](https://huggingface.co/facebook/wav2vec2-large-960h-lv60-self) to the [nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) model.
+This version of ZeroSwot is trained with ASR data from CommonVoice. It adapts [wav2vec2.0-large](https://huggingface.co/facebook/wav2vec2-large-960h-lv60-self) to the embedding space of the [nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) model.
 
 We have more versions available:
 
@@ -335,7 +335,7 @@ print(translation)
 
 ## Results
 
-BLEU scores on CoVoST-2 test compared to supervised SOTA models [XLS-R-1B](https://huggingface.co/facebook/wav2vec2-xls-r-1b) and [SeamlessM4T-Medium](https://huggingface.co/facebook/seamless-m4t-medium). You can refer to Table 5 of the Results section in the paper for more details.
+BLEU scores on CoVoST-2 test compared to supervised SOTA models XLS-R-1B and SeamlessM4T-Medium. You can refer to Table 5 of the Results section in the paper for more details.
 
 |     Models     |  ZS  |  Size (B)  |  Ar  |  Ca  |  Cy  |  De  |  Et  |  Fa  |  Id  |  Ja  |  Lv  |  Mn  |  Sl  |  Sv  |  Ta  |  Tr  |  Zh  | Average |
 |:--------------:|:----:|:----------:|:----:|:----:|:----:|:----:|:----:|:----:|:----:|:----:|:----:|:----:|:----:|:----:|:----:|:----:|:----:|:-------:|