Update README.md

README.md

@@ -4,4 +4,26 @@ language:
 - en
 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)