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procit007
/
training_tts_nl_v23_fbdata

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

Instructions to use procit007/training_tts_nl_v23_fbdata with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use procit007/training_tts_nl_v23_fbdata with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-audio", model="procit007/training_tts_nl_v23_fbdata")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTextToWaveform
    
    tokenizer = AutoTokenizer.from_pretrained("procit007/training_tts_nl_v23_fbdata")
    model = AutoModelForTextToWaveform.from_pretrained("procit007/training_tts_nl_v23_fbdata")
  • Notebooks
  • Google Colab
  • Kaggle
training_tts_nl_v23_fbdata
145 MB
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  • 1 contributor
History: 7 commits
procit007's picture
procit007
Upload tokenizer
4d2535f verified 10 months ago
  • .gitattributes
    1.52 kB
    initial commit 10 months ago
  • README.md
    5.17 kB
    Upload model 10 months ago
  • added_tokens.json
    35 Bytes
    Upload tokenizer 10 months ago
  • config.json
    2.05 kB
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  • model.safetensors
    145 MB
    xet
    Upload model 10 months ago
  • preprocessor_config.json
    254 Bytes
    Upload feature extractor 10 months ago
  • special_tokens_map.json
    275 Bytes
    Upload tokenizer 10 months ago
  • tokenizer_config.json
    840 Bytes
    Upload tokenizer 10 months ago
  • vocab.json
    456 Bytes
    Upload tokenizer 10 months ago