Update README.md

README.md

@@ -18,3 +18,16 @@ mBART-50 is a multilingual Sequence-to-Sequence model pre-trained using the "Mul
 mBART-50 is a multilingual Sequence-to-Sequence model. It was introduced to show that multilingual translation models can be created through multilingual fine-tuning. 
 Instead of fine-tuning on one direction, a pre-trained model is fine-tuned on many directions simultaneously. mBART-50 is created using the original mBART model and extended to add extra 25 languages to support multilingual machine translation models of 50 languages. The pre-training objective is explained below.
 
+## Docker with GPU
+
+```
+docker run -it --gpus all -p 7860:7860 --platform=linux/amd64 \
+	registry.hf.space/wall-e-zz-mbarttranslator:latest python app.py
+```
+
+## Docker with CPU
+
+```
+docker run -it -p 7860:7860 --platform=linux/amd64 \
+	registry.hf.space/wall-e-zz-mbarttranslator:latest python app.py
+```