Add Transformers Question Answering to community examples (Lightning-AI#2603)

* Update index.rst

Add QA Finetuning in community examples.

* Update README.md

Author: tshrjn

README.md

@@ -371,7 +371,7 @@ Check out this awesome list of research papers and implementations done with Lig
 - [Transformers transfer learning (Huggingface)](https://colab.research.google.com/drive/1F_RNcHzTfFuQf-LeKvSlud6x7jXYkG31#scrollTo=yr7eaxkF-djf)
 - [Transformers text classification](https://github.com/ricardorei/lightning-text-classification)
 - [VAE Library of over 18+ VAE flavors](https://github.com/AntixK/PyTorch-VAE)
-- [Finetune BERT, RoBERTa etc on QA Datasets like SQuAD](https://github.com/tshrjn/Finetune-QA/)
+- [Transformers Question Answering (SQuAD)](https://github.com/tshrjn/Finetune-QA/)
 - [Pytorch-Lightning + Microsoft NNI with Docker](https://github.com/davinnovation/pytorch-boilerplate)
 
 ## Tutorials

docs/source/index.rst

@@ -53,6 +53,7 @@ PyTorch Lightning Documentation
    Transformers transfer learning (Huggingface) <https://colab.research.google.com/drive/1F_RNcHzTfFuQf-LeKvSlud6x7jXYkG31#scrollTo=yr7eaxkF-djf>
    Transformers text classification <https://github.com/ricardorei/lightning-text-classification>
    VAE Library of over 18+ VAE flavors <https://github.com/AntixK/PyTorch-VAE>
+   Transformers Question Answering (SQuAD) <https://github.com/tshrjn/Finetune-QA/>
 
 .. toctree::
    :maxdepth: 1