[Updated Jul 2023]: Here is the updated notebook on how to fine-tune a Seq2Seq model with Huggingface Transformers, (not presented publicly yet), https://www.kaggle.com/code/alvations/how-to-fine-tune-an-opus-mt-model/
This was the repository that host the notebook for the Seq2Seq with PyTorch session in Data Science SG meetup in January 2018. The original accompanying slides can be found on https://goo.gl/Lu6CxB and the 2018 original notebook is on https://github.com/alvations/kopitiam/blob/master/Kopitiam.ipynb
Ordering coffee in Singapore hawker centre and food court could result in some surprises:
How to Fine-Tune an OPUS Machine Translation Model?
The dataset used in this exercise is hosted on https://www.kaggle.com/alvations/sg-kopi