Update README.md

README.md

@@ -7,6 +7,28 @@ language:
 metrics:
 - bleu
 - chrf
-- comet
 pipeline_tag: translation
----
+---
+# Model info
+
+Distilled model from a Tatoeba-MT Teacher: [Tatoeba-MT-models/kor-eng/opusTCv20210807-sepvoc_transformer-big_2022-07-28](https://object.pouta.csc.fi/Tatoeba-MT-models/kor-eng/opusTCv20210807-sepvoc_transformer-big_2022-07-28.zip), which has been trained on the [Tatoeba](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/data) dataset.
+
+We used the [OpusDistillery](https://github.com/Helsinki-NLP/OpusDistillery) to train new a new student with the tiny architecture, with a regular transformer decoder.
+For training data, we used [Tatoeba](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/data).
+The configuration file fed into OpusDistillery can be found [here](https://github.com/Helsinki-NLP/OpusDistillery/blob/main/configs/hplt/config.hplt.kor-eng.yml).
+
+## How to run
+```
+>>> from transformers import pipeline
+
+>>> pipe = pipeline("translation", model="odegiber/ko-en", max_length=256)
+>>> pipe("2017년 말, 시미노프는 쇼핑 텔레비젼 채널인 QVC에 출연했다.")
+[{'translation_text': 'At the end of 2017, Siminof appeared on the shopping television channel QVC.'}]
+
+```
+
+## Benchmarks
+
+| testset               | BLEU  | chr-F |
+|-----------------------|-------|-------|
+| flores200 	| 20.3 	| 50.3 |