Update README.md

Added sample python usage

README.md

@@ -20,3 +20,32 @@ Eval loss:
 
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/644addfe9279988e0cbc296b/HIJI2a1nojM6lbDyYe0-A.png)
 
+
+**Sample model usage**
+```[python]
+from transformers import T5ForConditionalGeneration, T5Tokenizer
+
+model = T5ForConditionalGeneration.from_pretrained(model_path)
+tokenizer = T5Tokenizer.from_pretrained(model_path)
+
+def do_inference(text, model, tokenizer):
+    input_text = f"denoise: {text}"
+    inputs = tokenizer.encode(
+        input_text,
+        return_tensors="pt",
+        max_length=256,
+        padding="max_length",
+        truncation=True,
+    )
+
+    corrected_ids = model.generate(
+        inputs,
+        max_length=256,
+        num_beams=5,
+        early_stopping=True,
+    )
+
+    corrected_sentence = tokenizer.decode(corrected_ids[0], skip_special_tokens=True)
+    return corrected_sentence
+```
+