Instructions to use espnet/arecho_scale_v0.1-large-decoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ESPnet
How to use espnet/arecho_scale_v0.1-large-decoder with ESPnet:
unknown model type (must be text-to-speech or automatic-speech-recognition)
- Notebooks
- Google Colab
- Kaggle
Update model
Browse files
meta.yaml
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@@ -2,7 +2,7 @@ espnet: '202503'
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files:
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model_file: exp/universa_universa_ar_overall_scale_token_wavlm_large/5epoch.pth
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python: "3.9.18 | packaged by conda-forge | (main, Dec 23 2023, 17:20:25) \n[GCC 12.3.0]"
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timestamp:
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torch: 2.6.0.dev20241210+cu124
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yaml_files:
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train_config: exp/universa_universa_ar_overall_scale_token_wavlm_large/config.yaml
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files:
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model_file: exp/universa_universa_ar_overall_scale_token_wavlm_large/5epoch.pth
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python: "3.9.18 | packaged by conda-forge | (main, Dec 23 2023, 17:20:25) \n[GCC 12.3.0]"
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timestamp: 1749801394.908381
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torch: 2.6.0.dev20241210+cu124
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yaml_files:
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train_config: exp/universa_universa_ar_overall_scale_token_wavlm_large/config.yaml
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