- Simplified GPT2 train scripts（based on Grover, supporting TPUs）
- Ported bert tokenizer，multilingual corpus compatible
- 1.5B GPT2 pretrained Chinese model ( ~15G corpus, 10w steps )
- Batteries-included Colab demo #
- 1.5B GPT2 pretrained Chinese model ( ~50G corpus, 100w steps )
1.5B GPT2 pretrained Chinese model [Google Drive]
SHA256: 4a6e5124df8db7ac2bdd902e6191b807a6983a7f5d09fb10ce011f9a073b183e
Corpus from THUCNews and nlp_chinese_corpus
Using Cloud TPU Pod v3-256 to train 10w steps
With just 2 clicks (not including Colab auth process), the 1.5B pretrained Chinese model demo is ready to go:
The contents in this repository are for academic research purpose, and we do not provide any conclusive remarks.
@misc{GPT2-ML,
author = {Zhibo Zhang},
title = {GPT2-ML: GPT-2 for Multiple Languages},
year = {2019},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/imcaspar/gpt2-ml}},
}
https://github.com/google-research/bert
https://github.com/rowanz/grover
Research supported with Cloud TPUs from Google's TensorFlow Research Cloud (TFRC)