Update README.md

README.md

@@ -6,24 +6,3 @@ base_model:
 - google-t5/t5-base
 ---
 
-Example Use:
-from transformers import T5ForConditionalGeneration, T5Tokenizer
-
-# Load the model and tokenizer from your Hugging Face repository
-model = T5ForConditionalGeneration.from_pretrained("Vijayendra/T5-Base-Sum")
-tokenizer = T5Tokenizer.from_pretrained("Vijayendra/T5-Base-Sum")
-
-# Example of using the model for summarization
-article = """
-The tower is 324 metres (1,063 ft) tall, about the same height as an 81-storey building, and the tallest structure in Paris. Its base is square, measuring 
-125 metres (410 ft) on each side. During its construction, the Eiffel Tower surpassed the Washington Monument to become the tallest man-made structure in the 
-world, a title it held for 41 years until the Chrysler Building in New York City was finished in 1930. It was the first structure to reach a height of 300 
-metres. Due to the addition of a broadcasting aerial at the top of the tower in 1957, it is now taller than the Chrysler Building by 5.2 metres (17 ft). 
-Excluding transmitters, it is the second tallest free-standing structure in France after the Millau Viaduct.
-"""
-inputs = tokenizer.encode("summarize: " + article, return_tensors="pt", max_length=512, truncation=True)
-summary_ids = model.generate(inputs, max_length=150, min_length=50, length_penalty=2.0, num_beams=4, early_stopping=True)
-
-# Decode and print the summary
-summary = tokenizer.decode(summary_ids[0], skip_special_tokens=True)
-print(summary)