Update README.md

README.md

@@ -20,7 +20,7 @@ This is a fine-tuned BERT model for question answering tasks, trained on a custo
 
 - **Model:** BERT-base-uncased
 - **Task:** Question Answering
-- **Dataset:** Custom dataset
+- **Dataset:** [Rep00Zon](https://huggingface.co/datasets/prabinpanta0/Rep00Zon)
 
 ## Usage
 
@@ -55,6 +55,14 @@ for question in questions:
 - Epochs: 3
 - Training Loss: 2.050335, 1.345047, 1.204442
 
+### Token
+```
+text = "Berlin is the capital of Germany. Paris is the capital of France. Madrid is the capital of Spain."
+tokens = tokenizer.tokenize(text)
+print(tokens)
+```
+*Output:*
+```['berlin', 'is', 'the', 'capital', 'of', 'germany', '.', 'paris', 'is', 'the', 'capital', 'of', 'france', '.', 'madrid', 'is', 'the', 'capital', 'of', 'spain', '.']```
 ### Dataset
 The model was trained on the [Rep00Zon](https://huggingface.co/datasets/prabinpanta0/Rep00Zon) dataset.