# norahsakal/fine-tune-gpt3-model

<https://repo.masters-masters.com/en/repos/norahsakal/fine-tune-gpt3-model>

[Home](https://repo.masters-masters.com/en) › [norahsakal](https://repo.masters-masters.com/en/owners/norahsakal) › [fine-tune-gpt3-model](https://repo.masters-masters.com/en/repos/norahsakal/fine-tune-gpt3-model)

norahsakal/fine-tune-gpt3-model has 118 stars on GitHub. Its RepoMasters card: Prototype tier. How you can fine-tune a GPT-3 model with Python with your own…

| Field | Value |
| --- | --- |
| Owner | [norahsakal](https://repo.masters-masters.com/en/owners/norahsakal) |
| Stars | 118 |
| Forks | 32 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2023 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [norahsakal/fine-tune-gpt3-model](https://github.com/norahsakal/fine-tune-gpt3-model) |

## Repository

How you can fine-tune a GPT-3 model with Python with your own data

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

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