Instructions to use espnet/OpenBEATS-Large-i1-rfcx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ESPnet
How to use espnet/OpenBEATS-Large-i1-rfcx with ESPnet:
unknown model type (must be text-to-speech or automatic-speech-recognition)
- Notebooks
- Google Colab
- Kaggle
Download meta.yaml from espnet/OpenBEATS-Large-i1-rfcx: direct link, hf CLI and curl.
- Browser
- Download file 434 Bytes
-
https://huggingface.co/espnet/OpenBEATS-Large-i1-rfcx/resolve/main/meta.yaml
- Command line
-
hf download hf://espnet/OpenBEATS-Large-i1-rfcx/meta.yaml
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curl -L -o meta.yaml https://huggingface.co/espnet/OpenBEATS-Large-i1-rfcx/resolve/main/meta.yaml
434 Bytes
| espnet: '202503' | |
| files: | |
| classification_model_file: /work/nvme/bbjs/sbharadwaj/espnet/egs2/audioverse/v1/exp/beans_rfcx/cls_earlarge1/valid.epoch_mAP.ave_1best.pth | |
| python: "3.9.18 | packaged by conda-forge | (main, Dec 23 2023, 17:20:25) \n[GCC 12.3.0]" | |
| timestamp: 1763331790.149184 | |
| torch: 2.1.2 | |
| yaml_files: | |
| classification_train_config: /work/nvme/bbjs/sbharadwaj/espnet/egs2/audioverse/v1/exp/beans_rfcx/cls_earlarge1/config.yaml | |