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herlandes
/
yemba-tts

Text-to-Speech
Transformers
Safetensors
Yemba
vits
text-to-audio
mms
audio
yemba
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use herlandes/yemba-tts with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-speech", model="herlandes/yemba-tts")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTextToWaveform
    
    tokenizer = AutoTokenizer.from_pretrained("herlandes/yemba-tts")
    model = AutoModelForTextToWaveform.from_pretrained("herlandes/yemba-tts")
  • Notebooks
  • Google Colab
  • Kaggle
yemba-tts
145 MB
Ctrl+K
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  • 1 contributor
History: 4 commits
herlandes's picture
herlandes
Update README.md
f43b9ed verified 27 days ago
  • .gitattributes
    1.52 kB
    initial commit 28 days ago
  • README.md
    178 Bytes
    Update README.md 27 days ago
  • added_tokens.json
    18 Bytes
    Upload folder using huggingface_hub 28 days ago
  • config.json
    1.65 kB
    Upload folder using huggingface_hub 28 days ago
  • model.safetensors
    145 MB
    xet
    Upload folder using huggingface_hub 28 days ago
  • tokenizer_config.json
    731 Bytes
    Upload folder using huggingface_hub 28 days ago
  • vocab.json
    521 Bytes
    Upload folder using huggingface_hub 28 days ago