# lonePatient/Bert-Multi-Label-Text-Classification

<https://repo.masters-masters.com/en/repos/lonePatient/Bert-Multi-Label-Text-Classification>

[Home](https://repo.masters-masters.com/en) › [lonePatient](https://repo.masters-masters.com/en/owners/lonePatient) › [Bert-Multi-Label-Text-Classification](https://repo.masters-masters.com/en/repos/lonePatient/Bert-Multi-Label-Text-Classification)

lonePatient/Bert-Multi-Label-Text-Classification has 921 stars on GitHub. Its RepoMasters card: Beta tier. This repo contains a PyTorch implementation of a…

| Field | Value |
| --- | --- |
| Owner | [lonePatient](https://repo.masters-masters.com/en/owners/lonePatient) |
| Stars | 921 |
| Forks | 207 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2019 |
| Topics | pytorch, pytorch-implmention, nlp, multi-label-classification, text-classification, bert, fine-tuning, xlnet, transformers, albert |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [lonePatient/Bert-Multi-Label-Text-Classification](https://github.com/lonePatient/Bert-Multi-Label-Text-Classification) |

## Repository

This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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