Update README.md (#3)

- Update README.md (200b5f9861154f46bee309ab95497ba6292d0aaa)


Co-authored-by: yingshaoxo <yingshaoxo@users.noreply.huggingface.co>

README.md

@@ -53,11 +53,34 @@ Here is how to import this model in Python:
 <summary> Click to expand </summary>
 
 ```python
+import torch
 from transformers import AutoTokenizer, AutoModelForQuestionAnswering
 
 tokenizer = AutoTokenizer.from_pretrained("Intel/dynamic_tinybert")
-
 model = AutoModelForQuestionAnswering.from_pretrained("Intel/dynamic_tinybert")
+
+context = "remember the number 123456, I'll ask you later."
+question = "What is the number I told you?"
+
+# Tokenize the context and question
+tokens = tokenizer.encode_plus(question, context, return_tensors="pt", truncation=True)
+
+# Get the input IDs and attention mask
+input_ids = tokens["input_ids"]
+attention_mask = tokens["attention_mask"]
+
+# Perform question answering
+outputs = model(input_ids, attention_mask=attention_mask)
+start_scores = outputs.start_logits
+end_scores = outputs.end_logits
+
+# Find the start and end positions of the answer
+answer_start = torch.argmax(start_scores)
+answer_end = torch.argmax(end_scores) + 1
+answer = tokenizer.convert_tokens_to_string(tokenizer.convert_ids_to_tokens(input_ids[0][answer_start:answer_end]))
+
+# Print the answer
+print("Answer:", answer)
  ```
 </details>