Instructions to use espnet/voxcelebs12_ebranchformer_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ESPnet
How to use espnet/voxcelebs12_ebranchformer_base with ESPnet:
unknown model type (must be text-to-speech or automatic-speech-recognition)
- Notebooks
- Google Colab
- Kaggle
RESULTS
Environments
date: 2024-11-11 13:27:22.449116
- python version: 3.10.13 (main, Sep 11 2023, 13:44:35) [GCC 11.2.0]
- espnet version: 202409
- pytorch version: 2.2.2+rocm5.6
| Mean | Std | |
|---|---|---|
| Target | 8.1720 | 3.9750 |
| Non-target | 2.0805 | 2.0805 |
| Model name | EER(%) | minDCF |
|---|---|---|
| conf/tuning/train_ebranchformer_aggregate_sys1_D384_L6_Rel_LayerDrop | 0.638 | 0.04797 |
Inference Providers NEW
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