Update README.md

README.md

@@ -38,4 +38,22 @@ model-index:
 This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert/albert-base-v2) on the SQuAD 1.1 and adversarial_qa datasets.
 It achieves the following results on the SQuAD 1.1 evaluation set:
 - Exact Match(EM): 84.68
-- F1: 91.40
+- F1: 91.40
+
+## Inference
+
+Here’s how to use the model for question answering:
+
+```python
+from transformers import pipeline
+
+# Load the pipeline
+qa_pipeline = pipeline("question-answering", model="xichenn/albert-base-v2-squad")
+
+# Run inference
+result = qa_pipeline({
+    "question": "What is the capital of France?",
+    "context": "France is a country in Europe. Its capital is Paris.",
+})
+
+print(result)