# EricFillion/happy-transformer

<https://repo.masters-masters.com/en/repos/EricFillion/happy-transformer>

[Home](https://repo.masters-masters.com/en) › [EricFillion](https://repo.masters-masters.com/en/owners/EricFillion) › [happy-transformer](https://repo.masters-masters.com/en/repos/EricFillion/happy-transformer)

EricFillion/happy-transformer has 547 stars on GitHub. Its RepoMasters card: Alpha tier. Happy Transformer makes it easy to fine-tune and perform inference…

| Field | Value |
| --- | --- |
| Owner | [EricFillion](https://repo.masters-masters.com/en/owners/EricFillion) |
| Stars | 547 |
| Forks | 68 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2019 |
| Topics | language-models, artificial-intelligence, ai, question-answering, bert, roberta, nlp, machine-learning, text-classification, deep-learning |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [EricFillion/happy-transformer](https://github.com/EricFillion/happy-transformer) |

## Repository

Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.

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.