# xuyige/BERT4doc-Classification

<https://repo.masters-masters.com/en/repos/xuyige/BERT4doc-Classification>

[Home](https://repo.masters-masters.com/en) › [xuyige](https://repo.masters-masters.com/en/owners/xuyige) › [BERT4doc-Classification](https://repo.masters-masters.com/en/repos/xuyige/BERT4doc-Classification)

xuyige/BERT4doc-Classification has 640 stars on GitHub. Its RepoMasters card: Alpha tier. Code and source for paper \`\`How to Fine-Tune BERT for Text…

| Field | Value |
| --- | --- |
| Owner | [xuyige](https://repo.masters-masters.com/en/owners/xuyige) |
| Stars | 640 |
| Forks | 101 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2020 |
| Topics | natural-language-processing, bert, text-classification |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [xuyige/BERT4doc-Classification](https://github.com/xuyige/BERT4doc-Classification) |

## Repository

Code and source for paper \`\`How to Fine-Tune BERT for Text Classification?\`\`

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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