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diarray
/
bam-vits

Text-to-Audio
Transformers
Safetensors
vits
Model card Files Files and versions
xet
Community

Instructions to use diarray/bam-vits with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use diarray/bam-vits with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-audio", model="diarray/bam-vits")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMultimodalLM
    
    tokenizer = AutoTokenizer.from_pretrained("diarray/bam-vits")
    model = AutoModelForMultimodalLM.from_pretrained("diarray/bam-vits")
  • Notebooks
  • Google Colab
  • Kaggle
bam-vits
159 MB
Ctrl+K
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  • 1 contributor
History: 4 commits
diarray's picture
diarray
Upload feature extractor
bf01a67 verified about 21 hours ago
  • .gitattributes
    1.52 kB
    initial commit about 21 hours ago
  • README.md
    5.17 kB
    Upload model about 21 hours ago
  • config.json
    1.95 kB
    Upload model about 21 hours ago
  • model.safetensors
    159 MB
    xet
    Upload model about 21 hours ago
  • preprocessor_config.json
    254 Bytes
    Upload feature extractor about 21 hours ago
  • tokenizer_config.json
    741 Bytes
    Upload tokenizer about 21 hours ago
  • vocab.json
    493 Bytes
    Upload tokenizer about 21 hours ago