Update README.md

README.md

@@ -22,6 +22,23 @@ roberta-base has been fine-tuned with SQUAD dataset with QuestionAnswering LM He
 ## Intended uses & limitations
 
 The model intended to be used for Q&A task, given the context and question, model would attempt to infer answer text, answer span and probability scores.
+Model can be simply put to use as:
+
+```
+from transformers import pipeline
+
+model_checkpoint = "anshoomehra/roberta-base-fineTuned-squadV1QA"
+
+context = """
+🤗 Transformers is backed by the three most popular deep learning libraries — Jax, PyTorch and TensorFlow — with a seamless integration
+between them. It's straightforward to train your models with one before loading them for inference with the other.
+"""
+question = "Which deep learning libraries back 🤗 Transformers?"
+
+question_answerer = pipeline("question-answering", model=model_checkpoint)
+question_answerer(question=question, context=context)
+
+```
 
 ## Training and evaluation data