Hello everyone, this is a simple tutorial that covers the basics of torchtext, an add-on package of Pytorch.
It is well-known that Pytorch is a brilliant deep learning library that is much simpler than its counterparts.
This simplicity is further aided by add-ons such as torchvision and torchtext.
However, due to the current lack of documentation, I had trouble understanding how torchtext operates at first and it took me a while to fully realize how many things in NLP can be done (so easily) with it.
This tutorial is to save others from the time that I spent fiddling with and understanding the available features.
Any questions or feedback are greatly appreciated, and if you have any questions / comments / advice / gossip / other nice things to say, you can contact me at devnote5676@naver.com or devnote5676@gmail.com :-)
- Basic knowledge of Pytorch
- some great tutorials are provided at https://github.com/yunjey/pytorch-tutorial
- Pytorch, Torchtext and Spacy installed