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diarray
/
bam-vits-pseudo-ipa

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

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

  • Libraries
  • Transformers

    How to use diarray/bam-vits-pseudo-ipa with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-audio", model="diarray/bam-vits-pseudo-ipa")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMultimodalLM
    
    tokenizer = AutoTokenizer.from_pretrained("diarray/bam-vits-pseudo-ipa")
    model = AutoModelForMultimodalLM.from_pretrained("diarray/bam-vits-pseudo-ipa")
  • Notebooks
  • Google Colab
  • Kaggle
bam-vits-pseudo-ipa
159 MB
Ctrl+K
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  • 1 contributor
History: 4 commits
diarray's picture
diarray
Upload feature extractor
f014b0e verified 11 days ago
  • .gitattributes
    1.52 kB
    initial commit 11 days ago
  • README.md
    5.17 kB
    Upload model 11 days ago
  • config.json
    1.95 kB
    Upload model 11 days ago
  • model.safetensors
    159 MB
    xet
    Upload model 11 days ago
  • preprocessor_config.json
    254 Bytes
    Upload feature extractor 11 days ago
  • tokenizer_config.json
    741 Bytes
    Upload tokenizer 11 days ago
  • vocab.json
    493 Bytes
    Upload tokenizer 11 days ago