Update README.md

README.md

@@ -15,17 +15,31 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [paust/pko-t5-base](https://huggingface.co/paust/pko-t5-base) on the None dataset.
 
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
+## How to use
+```python
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+from typing import List
+ 
+tokenizer = AutoTokenizer.from_pretrained("yeye776/OndeviceAI-T5-base")
+model = AutoModelForSeq2SeqLM.from_pretrained("yeye776/OndeviceAI-T5-base")
+ 
+prompt = "분류 및 인식해줘 :"
+def prepare_input(question: str):
+    inputs = f"{prompt} {question}"
+    input_ids = tokenizer(inputs, max_length=700, return_tensors="pt").input_ids
+    return input_ids
+ 
+def inference(question: str) -> str:
+    input_data = prepare_input(question=question)
+    input_data = input_data.to(model.device)
+    outputs = model.generate(inputs=input_data, num_beams=10, top_k=10, max_length=1024)
+ 
+    result = tokenizer.decode(token_ids=outputs[0], skip_special_tokens=True)
+ 
+    return result
+ 
+inference("안방 조명 켜줘")
+```
 
 ## Training procedure