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TeraSpace
/
TeraTTSv2

Text-to-Speech
Transformers
ONNX
teratts_onnx
feature-extraction
onnxruntime
russian
english
custom-code
custom_code
Model card Files Files and versions
xet
Community

Instructions to use TeraSpace/TeraTTSv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use TeraSpace/TeraTTSv2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-speech", model="TeraSpace/TeraTTSv2", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("TeraSpace/TeraTTSv2", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
TeraTTSv2 / models
644 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
TeraSpace's picture
TeraSpace
Replace teacher and distilled samplers with clean 25-second models
9043c50 verified 1 day ago
  • duration_predictor.onnx
    1.57 MB
    xet
    Add TeraTTS ONNX release artifacts 3 days ago
  • sampler_distilled_cfg3_8step.onnx
    256 MB
    xet
    Replace teacher and distilled samplers with clean 25-second models 1 day ago
  • sampler_teacher_8step.onnx
    257 MB
    xet
    Replace teacher and distilled samplers with clean 25-second models 1 day ago
  • text_encoder.onnx
    27.9 MB
    xet
    Replace teacher and distilled samplers with clean 25-second models 1 day ago
  • vocoder.onnx
    101 MB
    xet
    Add TeraTTS ONNX release artifacts 3 days ago