Update README.md

README.md

@@ -40,6 +40,31 @@ result = happy_tt.generate_text("grammar: Hihowareyoudoingtaday?.", args=args)
 print(result.text) # This sentence has bad grammar and is comrpessed.
 ```
 
+or using vanilla transformers
+
+```python
+from transformers import T5Tokenizer, T5ForConditionalGeneration
+
+# Load the tokenizer and model
+model_name = "willwade/t5-small-spoken-typo"
+tokenizer = T5Tokenizer.from_pretrained(model_name)
+model = T5ForConditionalGeneration.from_pretrained(model_name)
+
+# Prepare the input text with the "grammar: " prefix
+input_text = "grammar: Hihowareyoudoingtaday?."
+input_ids = tokenizer.encode(input_text, return_tensors="pt")
+
+# Generate text
+# Adjust num_beams and min_length to your needs
+output = model.generate(input_ids, num_beams=5, min_length=1, max_new_tokens=50, early_stopping=True)
+
+# Decode the generated text
+decoded_output = tokenizer.decode(output[0], skip_special_tokens=True)
+
+print(decoded_output)
+
+```
+
 # Model Details
 
 ## Model Description