Update README.md

README.md

@@ -93,3 +93,16 @@ The following hyperparameters were used during training:
 - Pytorch 2.3.1+cu121
 - Datasets 2.20.0
 - Tokenizers 0.19.1
+
+### How to use and it's democase
+
+from transformers import pipeline
+
+model_checkpoint = "amannagrawall002/bert-finetuned-ner"
+token_classifier = pipeline(
+    "token-classification", model=model_checkpoint, aggregation_strategy="simple"
+)
+
+print(token_classifier("My name is Sylvain and I work at Hugging Face in Brooklyn."))
+# [{'entity_group': 'PER', 'score': 0.9997023, 'word': 'Sylvain', 'start': 11, 'end': 18}, {'entity_group': 'ORG', 'score': 0.995275, 'word': 'Hugging Face', 'start': 33, 'end': 45}, {'entity_group': 'LOC', 'score': 0.9987465, 'word': 'Brooklyn', 'start': 49, 'end': 57}]
+