Any-to-Any
ESPnet
PyTorch
English
audio
multimodal
speech-language-model
audio-understanding
audio-generation
audio-to-text
text-to-audio
rich-caption
speech
music
environmental-sound
Instructions to use espnet/bagpiper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ESPnet
How to use espnet/bagpiper with ESPnet:
unknown model type (must be text-to-speech or automatic-speech-recognition)
- Notebooks
- Google Colab
- Kaggle
Commit History
15 days ago
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Use a configuration-inclusive revision in the download instructions
Verified signaturePublish the existing ESPnet configuration as config.yaml so normal repository downloads include a Hugging Face download-counting query file. Document the configuration filename and preserve release integrity checks.222c12c -
Add standard ESPnet configuration for download counting
Verified signaturePublish the existing ESPnet configuration as config.yaml so normal repository downloads include a Hugging Face download-counting query file. Document the configuration filename and preserve release integrity checks.91eb1ca
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Add comprehensive Bagpiper-Base model card
Verified signatureDocument Base-vs-SFT scope, architecture, native ESPnet checkpoint format, verified integrity metadata, runtime boundary, paper-reported probing results, intended use, limitations, provenance, and citation.cde2147
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Add stage-2 pretrained base checkpoint (base.pt)
Verified signatured7b91ab -
Add stage-2 base training config
Verified signatureba82a4f -
initial commit
Verified signature2e90f75