Update README.md

README.md

@@ -72,6 +72,17 @@ This is the model card of a 🤗 transformers model that has been pushed on the
 
 ### Direct Use
 
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+
+tokenizer = AutoTokenizer.from_pretrained("shkna1368/v1-Kurdana")
+model = AutoModelForSeq2SeqLM.from_pretrained("shkna1368/v1-Kurdana")
+
+input_ids =  tokenizer.encode(question, return_tensors="pt")
+
+output_ids = model.generate(input_ids, max_length=1200, num_beams=200, early_stopping=False)
+
+answer = t5_tokenizer.decode(output_ids[0], skip_special_tokens=True)
+
 <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
 
 [More Information Needed]