Add library name, pipeline tag, and links to paper and code

README.md

@@ -1,6 +1,8 @@
 ---
-license: mit
 base_model: microsoft/wavlm-large
+library_name: transformers
+license: mit
+pipeline_tag: automatic-speech-recognition
 tags:
 - audio
 - speech
@@ -13,7 +15,9 @@ tags:
 # HuPER Recognizer (ARPAbet phone recognition)
 
 A CTC phone recognizer fine-tuned from **WavLM-Large** that maps **16 kHz** speech audio to an **ARPAbet** phone sequence.
-See the HuPER paper for details: **arXiv:2602.01634**.
+See the HuPER paper for details: [HuPER: A Human-Inspired Framework for Phonetic Perception](https://huggingface.co/papers/2602.01634).
+
+Code: https://github.com/Berkeley-Speech-Group/HuPER.
 
 ## Quickstart
 
@@ -54,4 +58,4 @@ for token_id in pred_ids:
     prev = token_id
 
 print(" ".join(phone_tokens))
-```
+```