Instructions to use espnet/WavLabLM-EK-40k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ESPnet
How to use espnet/WavLabLM-EK-40k with ESPnet:
unknown model type (must be text-to-speech or automatic-speech-recognition)
- Notebooks
- Google Colab
- Kaggle
File size: 378 Bytes
e04352b | 1 2 3 4 5 6 7 8 9 | espnet: '202211'
files:
model_file: exp_li/hubert_iter2_train_ssl_torchaudiohubert_large_960h_pretrain_it2_cont_raw_layer_9/5epoch.pth
python: "3.8.16 (default, Jan 17 2023, 23:13:24) \n[GCC 11.2.0]"
timestamp: 1696275538.892072
torch: 2.0.1+cu117
yaml_files:
train_config: exp_li/hubert_iter2_train_ssl_torchaudiohubert_large_960h_pretrain_it2_cont_raw_layer_9/config.yaml
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