# Morizeyao/GPT2-Chinese

<https://repo.masters-masters.com/en/repos/Morizeyao/GPT2-Chinese>

[Home](https://repo.masters-masters.com/en) › [Morizeyao](https://repo.masters-masters.com/en/owners/Morizeyao) › [GPT2-Chinese](https://repo.masters-masters.com/en/repos/Morizeyao/GPT2-Chinese)

Morizeyao/GPT2-Chinese has 7,598 stars on GitHub. Its RepoMasters card: Stable tier. Chinese version of GPT2 training code, using BERT tokenizer.

| Field | Value |
| --- | --- |
| Owner | [Morizeyao](https://repo.masters-masters.com/en/owners/Morizeyao) |
| Stars | 7,598 |
| Forks | 1,671 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2019 |
| Topics | transformer, gpt-2, chinese, nlp, text-generation |
| Tier | [Stable (5,000 to 19,999 ★)](https://repo.masters-masters.com/en/ranks/cult) |
| View on GitHub | [Morizeyao/GPT2-Chinese](https://github.com/Morizeyao/GPT2-Chinese) |

## Repository

Chinese version of GPT2 training code, using BERT tokenizer.

The tier for repos with 5,000 to 19,999 ★. Published odds per card pulled: 0.9%. Rarity: Very rare.

## More repos by Morizeyao

- [Morizeyao/Decoders-Chinese-TF2.0 · ★ 149 · Python · Prototype](https://repo.masters-masters.com/en/repos/Morizeyao/Decoders-Chinese-TF2.0)

## Nearby in Python

- [Mailu/Mailu · ★ 7,603 · Python · Stable](https://repo.masters-masters.com/en/repos/Mailu/Mailu)
- [hyperopt/hyperopt · ★ 7,600 · Python · Stable](https://repo.masters-masters.com/en/repos/hyperopt/hyperopt)
- [lllyasviel/Omost · ★ 7,598 · Python · Stable](https://repo.masters-masters.com/en/repos/lllyasviel/Omost)
- [xerrors/Yuxi · ★ 7,591 · Python · Stable](https://repo.masters-masters.com/en/repos/xerrors/Yuxi)
- [guardrails-ai/guardrails · ★ 7,583 · Python · Stable](https://repo.masters-masters.com/en/repos/guardrails-ai/guardrails)
- [xingyizhou/CenterNet · ★ 7,582 · Python · Stable](https://repo.masters-masters.com/en/repos/xingyizhou/CenterNet)

---
Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
