Add pipeline tag, library name and link to code

README.md

@@ -1,19 +1,21 @@
 ---
-license: cc-by-4.0
-language:
-- en
-- it
 datasets:
 - FBK-MT/mosel
 - facebook/covost2
 - openslr/librispeech_asr
 - facebook/voxpopuli
+language:
+- en
+- it
+license: cc-by-4.0
 metrics:
 - wer
 tags:
 - speech
 - speech recognition
 - ASR
+library_name: fairseq
+pipeline_tag: automatic-speech-recognition
 ---
 
 # FAMA-medium-asr
@@ -40,7 +42,6 @@ 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.
 
-
 It is available in 2 sizes, with 2 variants for ASR only:
 
 - [FAMA-small](https://huggingface.co/FBK-MT/fama-small) - 475 million parameters
@@ -50,6 +51,7 @@ It is available in 2 sizes, with 2 variants for ASR only:
 
 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 is available at https://github.com/hlt-mt/FBK-fairseq
 
 ## Usage