Update README.md

README.md

@@ -13,15 +13,33 @@ should probably proofread and complete it, then remove this comment. -->
 
 # ke_t5_base_bongsoo_ko_en
 
-This model is a fine-tuned version of [KETI-AIR/ke-t5-base](https://huggingface.co/KETI-AIR/ke-t5-base) on an unknown dataset.
+This model is a fine-tuned version of [KETI-AIR/ke-t5-base](https://huggingface.co/KETI-AIR/ke-t5-base) 
+on a [bongsoo/news_news_talk_en_ko](https://huggingface.co/datasets/bongsoo/news_talk_ko_en) dataset.
 
 ## Model description
 
-More information needed
+KE-T5 is a pretrained-model of t5 text-to-text transfer transformers 
+using the Korean and English corpus developed by KETI (한국전자연구원).
+The vocabulary used by KE-T5 consists of 64,000 sub-word tokens 
+and was created using Google's sentencepiece. 
+The Sentencepiece model was trained to cover 99.95% of a 30GB corpus 
+with an approximate 7:3 mix of Korean and English.
 
 ## Intended uses & limitations
 
-More information needed
+Translation from Korean to English
+
+## Usage
+
+You can use this model directly with a pipeline for translation language modeling:
+
+```python
+>>> from transformers import pipeline
+>>> translator = pipeline('translation', model='chunwoolee0/ke_t5_base_bongsoo_en_ko')
+
+>>> translator("Let us go for a walk after lunch.")
+[{'translation_text': '점심을 마치고 산책을 하러 가자.'}]
+
 
 ## Training and evaluation data