Update README.md

README.md

@@ -76,30 +76,25 @@ Users (both direct and downstream) should be made aware of the risks, biases and
 
 ## How to Get Started with the Model
 
-´´´python
+```python
 from transformers import AutoTokenizer, AutoModelForTokenClassification
 from transformers import pipeline
 
-# Load pre-trained model and tokenizer
 model_name = "your-model-name"  # Replace with your model name
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = AutoModelForTokenClassification.from_pretrained(model_name)
 
-# Create a NER pipeline
 ner_pipeline = pipeline("ner", model=model, tokenizer=tokenizer)
 
-# Sample text
 text = "Barack Obama was born on August 4, 1961 in Honolulu, Hawaii."
 
-# Perform NER
 entities = ner_pipeline(text)
 
-# Print detected entities
 for entity in entities:
     print(f"Entity: {entity['word']}, Type: {entity['entity']}, Score: {entity['score']:.4f}")
 
 
-´´´
+```
 
 ## Training Details