Instructions to use espnet/dac_44k_speech_single_survey with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ESPnet
How to use espnet/dac_44k_speech_single_survey with ESPnet:
unknown model type (must be text-to-speech or automatic-speech-recognition)
- Notebooks
- Google Colab
- Kaggle
Download meta.yaml from espnet/dac_44k_speech_single_survey: direct link, hf CLI and curl.
- Browser
- Download file 308 Bytes
-
https://huggingface.co/espnet/dac_44k_speech_single_survey/resolve/23bcbd4adf1236c4c44782219e2fc175dd732064/meta.yaml
- Command line
-
hf download hf://espnet/dac_44k_speech_single_survey@23bcbd4adf1236c4c44782219e2fc175dd732064/meta.yaml
-
curl -L -o meta.yaml https://huggingface.co/espnet/dac_44k_speech_single_survey/resolve/23bcbd4adf1236c4c44782219e2fc175dd732064/meta.yaml
308 Bytes
| espnet: '202402' | |
| files: | |
| model_file: exp_bench_44k/codec_dac_44k_speech/360epoch.pth | |
| python: 3.10.13 | packaged by conda-forge | (main, Dec 23 2023, 15:26:55) [GCC 12.3.0] | |
| timestamp: 1736238282.997318 | |
| torch: 2.6.0.dev20241209+cu124 | |
| yaml_files: | |
| train_config: exp_bench_44k/codec_dac_44k_speech/config.yaml | |