# audeering/w2v2-how-to

<https://repo.masters-masters.com/en/repos/audeering/w2v2-how-to>

[Home](https://repo.masters-masters.com/en) › [audeering](https://repo.masters-masters.com/en/owners/audeering) › [w2v2-how-to](https://repo.masters-masters.com/en/repos/audeering/w2v2-how-to)

audeering/w2v2-how-to has 564 stars on GitHub. Its RepoMasters card: Alpha tier. How to use our public wav2vec2 dimensional emotion model

| Field | Value |
| --- | --- |
| Owner | [audeering](https://repo.masters-masters.com/en/owners/audeering) |
| Stars | 564 |
| Forks | 50 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2022 |
| Topics | speech-emotion-recognition, deep-learning, wav2vec2, transformer-models, arousal, dominance, valence, msp-podcast, onnx |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [audeering/w2v2-how-to](https://github.com/audeering/w2v2-how-to) |

## Repository

How to use our public wav2vec2 dimensional emotion model

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

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