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
- Xet hash:
- 5a7e39d669db239f56832ed7d1a2837318fe571f09bd92476ed973b05f707826
- Size of remote file:
- 18.2 GB
- SHA256:
- c9917c1237bd44ea0ea8b41746e5ec5aecae92273538c9b6e4040d26f69a6521
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