Update README.md

README.md

@@ -32,3 +32,20 @@ model-index:
 # roberta-base for QA finetuned over community safety domain data
 
 We fine-tuned the roBERTa-based model (https://huggingface.co/deepset/roberta-base-squad2) over LiveSafe community safety dialogue data for event argument extraction with the objective of question-answering. 
+
+
+### Using model in Transformers
+```python
+from transformers import AutoModelForQuestionAnswering, AutoTokenizer, pipeline
+model_name = "yirenl2/plm_qa"
+# a) Get predictions
+nlp = pipeline('question-answering', model=model_name, tokenizer=model_name)
+QA_input = {
+    'question': 'What is the location of the incident?',
+    'context': 'I was attacked by someone in front of the bus station.'
+}
+res = nlp(QA_input)
+# b) Load model & tokenizer
+model = AutoModelForQuestionAnswering.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+```