# hsc748NLP/SikuBERT-for-digital-humanities-and-classical-Chinese-information-processing

<https://repo.masters-masters.com/en/repos/hsc748NLP/SikuBERT-for-digital-humanities-and-classical-Chinese-information-processing>

[Home](https://repo.masters-masters.com/en) › [hsc748NLP](https://repo.masters-masters.com/en/owners/hsc748NLP) › [SikuBERT-for-digital-humanities-and-classical-Chinese-information-processing](https://repo.masters-masters.com/en/repos/hsc748NLP/SikuBERT-for-digital-humanities-and-classical-Chinese-information-processing)

hsc748NLP/SikuBERT-for-digital-humanities-and-classical-Chinese-information-processing has 173 stars on GitHub. Its RepoMasters card: Prototype tier.

| Field | Value |
| --- | --- |
| Owner | [hsc748NLP](https://repo.masters-masters.com/en/owners/hsc748NLP) |
| Stars | 173 |
| Forks | 17 |
| Language | No language |
| License | Apache-2.0 |
| Created | 2021 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [hsc748NLP/SikuBERT-for-digital-humanities-and-classical-Chinese-information-processing](https://github.com/hsc748NLP/SikuBERT-for-digital-humanities-and-classical-Chinese-information-processing) |

## Repository

SikuBERT：四库全书的预训练语言模型（四库BERT） Pre-training Model of Siku Quanshu

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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- [hsc748NLP/code-for-digital-humanities-tutorial · ★ 128 · Python · Prototype](https://repo.masters-masters.com/en/repos/hsc748NLP/code-for-digital-humanities-tutorial)

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