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espnet
/
bagpiper-tts-sft

Text-to-Speech
ESPnet
PyTorch
English
audio
speech
instruction-following
singing-voice-synthesis
speech-language-model
Model card Files Files and versions
xet
Community

Instructions to use espnet/bagpiper-tts-sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • ESPnet

    How to use espnet/bagpiper-tts-sft with ESPnet:

    from espnet2.bin.tts_inference import Text2Speech
    
    model = Text2Speech.from_pretrained("espnet/bagpiper-tts-sft")
    
    speech, *_ = model("text to generate speech from")
  • Notebooks
  • Google Colab
  • Kaggle
bagpiper-tts-sft
18.2 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
JinchuanTian's picture
JinchuanTian
Enable download counting with the standard ESPnet configuration filename
01ea359 verified 8 days ago
  • .gitattributes
    41 Bytes
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  • LICENSE
    11.4 kB
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  • MANIFEST.json
    938 Bytes
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  • README.md
    5.25 kB
    Enable download counting with the standard ESPnet configuration filename 8 days ago
  • SHA256SUMS
    643 Bytes
    Enable download counting with the standard ESPnet configuration filename 8 days ago
  • THIRD_PARTY_NOTICES.md
    1.79 kB
    Add files using upload-large-folder tool 3 months ago
  • config.yaml
    1.18 kB
    Enable download counting with the standard ESPnet configuration filename 8 days ago
  • inference.yaml
    220 Bytes
    Add files using upload-large-folder tool 3 months ago
  • model.pt
    18.2 GB
    xet
    Add files using upload-large-folder tool 3 months ago
  • train_bagpiper_tts.yaml
    1.18 kB
    Align release layout with espnet/bagpiper 3 months ago