# ricardorei/lightning-text-classification

<https://repo.masters-masters.com/en/repos/ricardorei/lightning-text-classification>

[Home](https://repo.masters-masters.com/en) › [ricardorei](https://repo.masters-masters.com/en/owners/ricardorei) › [lightning-text-classification](https://repo.masters-masters.com/en/repos/ricardorei/lightning-text-classification)

ricardorei/lightning-text-classification has 219 stars on GitHub. Its RepoMasters card: Prototype tier. Minimalist implementation of a BERT Sentence…

| Field | Value |
| --- | --- |
| Owner | [ricardorei](https://repo.masters-masters.com/en/owners/ricardorei) |
| Stars | 219 |
| Forks | 38 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2020 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [ricardorei/lightning-text-classification](https://github.com/ricardorei/lightning-text-classification) |

## Repository

Minimalist implementation of a BERT Sentence Classifier with PyTorch Lightning, Transformers and PyTorch-NLP.

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

## Nearby in Python

- [Taiquan-Zhou/RunTheRepo · ★ 219 · Python · Prototype](https://repo.masters-masters.com/en/repos/Taiquan-Zhou/RunTheRepo)
- [InferMatrixLab/vllm-rlt · ★ 219 · Python · Prototype](https://repo.masters-masters.com/en/repos/InferMatrixLab/vllm-rlt)
- [duyunzhoudyz/gongwen-skills · ★ 219 · Python · Prototype](https://repo.masters-masters.com/en/repos/duyunzhoudyz/gongwen-skills)
- [bwaldvogel/neighbourhood · ★ 219 · Python · Prototype](https://repo.masters-masters.com/en/repos/bwaldvogel/neighbourhood)
- [hpfeeds/hpfeeds · ★ 219 · Python · Prototype](https://repo.masters-masters.com/en/repos/hpfeeds/hpfeeds)
- [5quinque/Soundcloud-Downloader · ★ 219 · Python · Prototype](https://repo.masters-masters.com/en/repos/5quinque/Soundcloud-Downloader)

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