Instructions to use espnet/xeus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ESPnet
How to use espnet/xeus with ESPnet:
from espnet2.bin.asr_inference import Speech2Text model = Speech2Text.from_pretrained( "espnet/xeus" ) speech, rate = soundfile.read("speech.wav") text, *_ = model(speech)[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
Update meta.yaml
Browse files
meta.yaml
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
espnet: '202304'
|
| 2 |
files:
|
| 3 |
-
|
| 4 |
python: 3.10.10 (main, Mar 21 2023, 18:45:11) [GCC 11.2.0]
|
| 5 |
timestamp: 1690664683.078748
|
| 6 |
torch: 1.13.1
|
| 7 |
yaml_files:
|
| 8 |
-
|
|
|
|
| 1 |
espnet: '202304'
|
| 2 |
files:
|
| 3 |
+
ssl_model_file: model/xeus_checkpoint_new.pth
|
| 4 |
python: 3.10.10 (main, Mar 21 2023, 18:45:11) [GCC 11.2.0]
|
| 5 |
timestamp: 1690664683.078748
|
| 6 |
torch: 1.13.1
|
| 7 |
yaml_files:
|
| 8 |
+
ssl_train_config: model/config.yaml
|