Update README.md

README.md

@@ -2,5 +2,53 @@
 language:
 - fr
 - en
+metrics:
+- bleu
+results:
+- name: bleu
+- value: 49
 pipeline_tag: translation
----
+---
+
+# Model Details
+
+French-to-English Machine Translation model trained by Yasmin Moslem.
+This is a Transformer-based model originally trained with OpenNMT-py and then converted to the CTranslate2 format for efficient inference.
+
+## Tools
+
+- OpenNMT-py
+- CTranslate2
+
+## Data
+
+This model is trained on the French-to-English portion of the [UN Corpus](https://conferences.unite.un.org/UNCorpus/),
+consisting of approx. 20 million segments.
+
+## Demo
+
+A demo of this model is available at: https://www.machinetranslation.io/
+
+The demo also illustrates word-level auto-suggestions with teacher forcing.
+
+## Inference
+
+If you want to run this model locally, you can use the [CTranslate2](https://github.com/OpenNMT/CTranslate2) library.
+
+## Citation
+
+```
+@inproceedings{moslem-etal-2022-translation,
+    title = "Translation Word-Level Auto-Completion: What Can We Achieve Out of the Box?",
+    author = "Moslem, Yasmin  and
+      Haque, Rejwanul  and
+      Way, Andy",
+    booktitle = "Proceedings of the Seventh Conference on Machine Translation (WMT)",
+    month = dec,
+    year = "2022",
+    address = "Abu Dhabi, United Arab Emirates",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2022.wmt-1.119",
+    pages = "1176--1181",
+}
+```