Instructions to use espnet/voxcelebs12_ecapa_wavlm_joint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ESPnet
How to use espnet/voxcelebs12_ecapa_wavlm_joint with ESPnet:
unknown model type (must be text-to-speech or automatic-speech-recognition)
- Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -34,7 +34,7 @@ import numpy as np
|
|
| 34 |
from espnet2.bin.spk_inference import Speech2Embedding
|
| 35 |
|
| 36 |
# from uploaded models
|
| 37 |
-
speech2spk_embed = Speech2Embedding.from_pretrained(model_tag="espnet/
|
| 38 |
embedding = speech2spk_embed(np.zeros(16500))
|
| 39 |
|
| 40 |
# from checkpoints trained by oneself
|
|
|
|
| 34 |
from espnet2.bin.spk_inference import Speech2Embedding
|
| 35 |
|
| 36 |
# from uploaded models
|
| 37 |
+
speech2spk_embed = Speech2Embedding.from_pretrained(model_tag="espnet/voxcelebs12_ecapa_wavlm_joint")
|
| 38 |
embedding = speech2spk_embed(np.zeros(16500))
|
| 39 |
|
| 40 |
# from checkpoints trained by oneself
|