Migrate model card from transformers-repo

Read announcement at https://discuss.huggingface.co/t/announcement-all-model-cards-will-be-migrated-to-hf-co-model-repos/2755
Original file history: https://github.com/huggingface/transformers/commits/master/model_cards/valhalla/t5-base-qg-hl/README.md

README.md

@@ -0,0 +1,33 @@
+---
+datasets:
+- squad
+tags:
+- question-generation
+widget:
+- text: "<hl> 42 <hl> is the answer to life, the universe and everything. </s>"
+- text: "Python is a programming language. It is developed by <hl> Guido Van Rossum <hl>. </s>"
+- text: "Although <hl> practicality <hl> beats purity </s>"
+license: mit
+---
+
+## T5 for question-generation
+This is [t5-base](https://arxiv.org/abs/1910.10683) model trained for answer aware question generation task. The answer spans are highlighted within the text with special highlight tokens. 
+
+You can play with the model using the inference API, just highlight the answer spans with `<hl>` tokens and end the text with `</s>`. For example
+
+`<hl> 42 <hl> is the answer to life, the universe and everything. </s>`
+
+For more deatils see [this](https://github.com/patil-suraj/question_generation) repo.
+
+### Model in action 🚀
+
+You'll need to clone the [repo](https://github.com/patil-suraj/question_generation).
+
+[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/patil-suraj/question_generation/blob/master/question_generation.ipynb)
+
+```python3
+from pipelines import pipeline
+nlp = pipeline("question-generation", model="valhalla/t5-base-qg-hl")
+nlp("42 is the answer to life, universe and everything.")
+=> [{'answer': '42', 'question': 'What is the answer to life, universe and everything?'}]
+```