Update README.md

README.md

@@ -3,6 +3,31 @@ library_name: transformers
 tags: []
 ---
 
+#Getting started
+!pip install transformers
+
+from transformers import T5ForConditionalGeneration, T5Tokenizer
+
+# Load the model and tokenizer from the directory where they are saved
+model = T5ForConditionalGeneration.from_pretrained('abhibheema/T5Validation')  
+tokenizer = T5Tokenizer.from_pretrained('abhibheema/T5Validation')
+
+
+
+sample_input = """input text"""
+input_ids = tokenizer.encode(sample_input, return_tensors="pt")
+# Generate output
+with torch.no_grad():
+    output_ids = model.generate(input_ids, max_new_tokens=512)
+output_text = tokenizer.decode(output_ids[0], skip_special_tokens=True)
+# Print the result
+print("Generated Output:", output_text)
+
+
+
+
+
+
 # Model Card for Model ID
 
 <!-- Provide a quick summary of what the model is/does. -->