Update README.md

README.md

@@ -26,8 +26,39 @@ pip install optimum[openvino]
 To load your model you can do as follows:
 
 ```python
-from optimum.intel import OVModelForCausalLM
+from transformers import AutoTokenizer, AutoConfig, pipeline
+from optimum.intel.openvino import OVModelForSeq2SeqLM
+import time
 
-model_id = "santhosh/GRMR-2B-Instruct-openvino"
-model = OVModelForCausalLM.from_pretrained(model_id)
+mode_id = "santhosh/GRMR-2B-Instruct-openvino"
+model = OVModelForSeq2SeqLM.from_pretrained(
+    model_id,
+    config=AutoConfig.from_pretrained(model_id),
+    use_cache=True,
+)
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+
+# Create a pipeline
+pipe = pipeline(
+    "text2text-generation",
+    model=model,
+    tokenizer=tokenizer,
+    truncation=True,
+    max_length=256,
+)
+
+texts = [
+    "Most of the course is about semantic or  content of language but there are also interesting topics to be learned from the servicefeatures except statistics in characters in documents.",
+    "At this point, He introduces herself as his native English speaker and goes on to say that if you contine to work on social scnce",
+    "He come after the event.",
+    "When I grew up, I start to understand what he said is quite right",
+    "Write this more formally: omg! i love that song im listening to right now",
+    "Improve the grammaticality: As the number of people grows, the need of habitable environment is unquestionably essential.",
+]
+start_time = time.time()
+for result in pipe(texts):
+    print(result)
+end_time = time.time()
+duration = end_time - start_time
+print(f"Correction completed in {duration:.2f} seconds.")
 ```