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Jetlink
/
JetlinkTTS

Text-to-Speech
Transformers
Safetensors
tts
multilingual
voice-cloning
voice-design
audio
diffusion
Model card Files Files and versions
xet
Community

Instructions to use Jetlink/JetlinkTTS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Jetlink/JetlinkTTS with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-speech", model="Jetlink/JetlinkTTS")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Jetlink/JetlinkTTS", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
JetlinkTTS
4.96 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
rezanaltjetlink's picture
rezanaltjetlink
Update README.md
1e82a29 verified 5 days ago
  • .gitattributes
    1.52 kB
    initial commit 5 days ago
  • README.md
    20.9 kB
    Update README.md 5 days ago
  • audiovae.pth

    Detected Pickle imports (4)

    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict",
    • "torch.FloatStorage",
    • "torch.IntStorage"

    What is a pickle import?

    377 MB
    xet
    Add files using upload-large-folder tool 5 days ago
  • config.json
    4.34 kB
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  • model.safetensors
    4.58 GB
    xet
    Add files using upload-large-folder tool 5 days ago
  • special_tokens_map.json
    1.63 kB
    Add files using upload-large-folder tool 5 days ago
  • tokenization_voxcpm2.py
    2.9 kB
    Add files using upload-large-folder tool 5 days ago
  • tokenizer.json
    3.68 MB
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  • tokenizer_config.json
    5.06 kB
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