Uniform FAMA model cards

README.md

@@ -45,8 +45,6 @@ All the artifacts used for realizing FAMA models, including codebase, datasets,
 themself are [released under OS-compliant licenses](#license), promoting a more
 responsible creation of models in our community.
 
-For further details, please refer to the paper [FAMA: The First Large-Scale Open-Science Speech Foundation Model for English and Italian](https://huggingface.co/papers/2505.22759).
-
 It is available in 2 sizes, with 2 variants for ASR only:
 
 - [FAMA-small](https://huggingface.co/FBK-MT/fama-small) - 475 million parameters
@@ -54,8 +52,8 @@ It is available in 2 sizes, with 2 variants for ASR only:
 - [FAMA-small-asr](https://huggingface.co/FBK-MT/fama-small-asr) - 475 million parameters
 - [FAMA-medium-asr](https://huggingface.co/FBK-MT/fama-medium-asr) - 878 million parameters
 
-For more information about FAMA, please check our [blog post](https://huggingface.co/blog/FAMA/release) and the [arXiv](https://arxiv.org/abs/2505.22759) preprint.
-Code can be found at: https://github.com/hlt-mt/FBK-fairseq
+For further details, please refer to the paper [FAMA: The First Large-Scale Open-Science Speech Foundation Model for English and Italian](https://huggingface.co/papers/2505.22759).
+The code is available in the [Github repository](https://github.com/hlt-mt/FBK-fairseq).
 
 ## Usage