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ipsilondev
/
parler_tts

Text-to-Speech
Transformers
Safetensors
English
parler_tts
text-generation
annotation
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use ipsilondev/parler_tts with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-speech", model="ipsilondev/parler_tts")
    # Load model directly
    from transformers import AutoModelForSeq2SeqLM
    model = AutoModelForSeq2SeqLM.from_pretrained("ipsilondev/parler_tts", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
parler_tts
2.59 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 7 commits
ipsilondev
fixing
8bc86d3 about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    4.63 kB
    copying to main about 2 years ago
  • config.json
    5.56 kB
    fixing about 2 years ago
  • generation_config.json
    267 Bytes
    copying to main about 2 years ago
  • model.safetensors
    2.59 GB
    xet
    copying to main about 2 years ago
  • preprocessor_config.json
    234 Bytes
    copying to main about 2 years ago
  • special_tokens_map.json
    2.54 kB
    copying to main about 2 years ago
  • spiece.model
    792 kB
    xet
    copying to main about 2 years ago
  • tokenizer.json
    2.42 MB
    copying to main about 2 years ago
  • tokenizer_config.json
    20.8 kB
    copying to main about 2 years ago