Update README.md

README.md

@@ -63,7 +63,8 @@ This is the [mdeberta-v3-base](https://huggingface.co/microsoft/mdeberta-v3-base
 
 ### Model Usage
 ```python
-from transformers import()
+import torch
+from transformers import(
   AutoModelForQuestionAnswering,
   AutoTokenizer,
   pipeline
@@ -77,6 +78,8 @@ qa_input = {
 'context': 'My name is Sarah and I live in London'
 }
 res = nlp(qa_input)
+# {'score': 0.9844420552253723, 'start': 30, 'end': 37, 'answer': ' London'}
+
 
 # b) Load model & tokenizer
 model = AutoModelForQuestionAnswering.from_pretrained(model_name)
@@ -91,6 +94,7 @@ start_scores, end_scores = model(encoding["input_ids"], attention_mask=encoding[
 all_tokens = tokenizer.convert_ids_to_tokens(input_ids[0].tolist())
 answer_tokens = all_tokens[torch.argmax(start_scores) :torch.argmax(end_scores)+1]
 answer = tokenizer.decode(tokenizer.convert_tokens_to_ids(answer_tokens))
+# 'London'
 ```
 
 ### Metrics