Update README.md

README.md

@@ -6,7 +6,7 @@ IndicBART is a multilingual, sequence-to-sequence pre-trained model focusing on
 <li> Trained on large Indic language corpora (452 million sentences and 9 billion tokens) which also includes Indian English content. </li>
 </ul>
 
-You can read more about IndicBART in this paper: https://arxiv.org/abs/2109.02903
+You can read more about IndicBART in this <a href="https://arxiv.org/abs/2109.02903">paper</a>.
 
 For detailed documentation, look here: https://github.com/AI4Bharat/indic-bart/ and https://indicnlp.ai4bharat.org/indic-bart/
 
@@ -78,7 +78,8 @@ print(decoded_output) # I am happy
 
 # Fine-tuning on a downstream task
 
-If you wish to fine-tune this model, then you can do so using the toolkit <a href="https://github.com/prajdabre/yanmtt">YANMTT</a> following the instructions here: https://github.com/AI4Bharat/indic-bart
+1. If you wish to fine-tune this model, then you can do so using the toolkit <a href="https://github.com/prajdabre/yanmtt">YANMTT</a> following the instructions <a href="https://github.com/AI4Bharat/indic-bart ">here<a>.
+2. (Untested) Alternatively, you may use the official huggingface scripts for <a href="https://github.com/huggingface/transformers/tree/master/examples/pytorch/translation">translation</a> and <a href="https://github.com/huggingface/transformers/tree/master/examples/pytorch/summarization">summarization</a>.
 
 # Contributors
 <ul>