Add pipeline tag, license and link to paper and code

README.md

@@ -1,13 +1,17 @@
 ---
 library_name: transformers
 tags: []
+pipeline_tag: automatic-speech-recognition
+license: apache-2.0
 ---
 
 # Model Card for Model ID
 
-<!-- Provide a quick summary of what the model is/does. -->
+This repository contains the model described in the paper [BUT System for the MLC-SLM Challenge](https://huggingface.co/papers/2506.13414).
 
+Code: https://github.com/mubingshen/MLC-SLM-Baseline
 
+<!-- Provide a quick summary of what the model is/does. -->
 
 ## Model Details
 
@@ -22,7 +26,7 @@ This is the model card of a 🤗 transformers model that has been pushed on the
 - **Shared by [optional]:** [More Information Needed]
 - **Model type:** [More Information Needed]
 - **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
+- **License:** apache-2.0
 - **Finetuned from model [optional]:** [More Information Needed]
 
 ### Model Sources [optional]
@@ -89,10 +93,9 @@ Use the code below to get started with the model.
 
 [More Information Needed]
 
-
 #### Training Hyperparameters
 
-- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
 
 #### Speeds, Sizes, Times [optional]
 
@@ -130,8 +133,6 @@ Use the code below to get started with the model.
 
 #### Summary
 
-
-
 ## Model Examination [optional]
 
 <!-- Relevant interpretability work for the model goes here -->