Update README.md

README.md

@@ -76,7 +76,7 @@ def summarize_article(article, model, tokenizer):
     summary = tokenizer.decode(summary_ids[0], skip_special_tokens=True)
     return summary
 
-# Load your fine-tuned T5 model and tokenizer (your custom model)
+# Load our fine-tuned T5 model and tokenizer 
 t5_model_custom = T5ForConditionalGeneration.from_pretrained("Vijayendra/T5-Base-Sum")
 t5_tokenizer_custom = T5Tokenizer.from_pretrained("Vijayendra/T5-Base-Sum")
 
@@ -105,7 +105,7 @@ misinformation policies on YouTube with new guidelines on currently administered
 effective by local health authorities and the WHO," the post said, referring to the World Health Organization.
 """
 
-# Summarize with your fine-tuned T5 model
+# Summarize with our fine-tuned T5 model
 t5_summary_custom = summarize_article(article, t5_model_custom, t5_tokenizer_custom)
 
 # Summarize with the pretrained T5 model for summarization