Blog

Learn About Our Meetup

4500+ Members

[P] Pytorch Implementation of Autoregressive Language Model

A step-by-step tutorial on how to implement and adapt Autoregressive language model to Wikipedia text.

A pre-trained BERT, XLNET is publicly available ! But, for NLP beginners, It could be hard to use/adapt after full understanding. For them, I covered whole, end-to-end implementation process for language modeling, using unidirectional/bidirectional LSTM network, we already know.

  • – do not use torchtext library !
  • + include trained model file, training logs

I hope that this repo can be a good solution for people who want to have their own language model 🙂

https://github.com/lyeoni/pretraining-for-language-understanding

submitted by /u/lyeoni
[link] [comments]

Next Meetup

 

Days
:
Hours
:
Minutes
:
Seconds

 

Plug yourself into AI and don't miss a beat

 


Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.