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Umerpy
/
speecht5-tts-finetuned

Text-to-Audio
Transformers
Safetensors
speecht5
Model card Files Files and versions
xet
Community

Instructions to use Umerpy/speecht5-tts-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Umerpy/speecht5-tts-finetuned with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-audio", model="Umerpy/speecht5-tts-finetuned")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForTextToSpectrogram
    
    processor = AutoProcessor.from_pretrained("Umerpy/speecht5-tts-finetuned")
    model = AutoModelForTextToSpectrogram.from_pretrained("Umerpy/speecht5-tts-finetuned", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
speecht5-tts-finetuned
578 MB
Ctrl+K
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  • 1 contributor
History: 7 commits
Umerpy's picture
Umerpy
Upload SpeechT5ForTextToSpeech
9be72aa verified 5 months ago
  • .gitattributes
    1.52 kB
    initial commit 5 months ago
  • README.md
    5.17 kB
    Upload SpeechT5ForTextToSpeech 5 months ago
  • added_tokens.json
    40 Bytes
    Upload processor 5 months ago
  • config.json
    2.06 kB
    Upload SpeechT5ForTextToSpeech 5 months ago
  • generation_config.json
    246 Bytes
    Upload SpeechT5ForTextToSpeech 5 months ago
  • model.safetensors
    578 MB
    xet
    Upload SpeechT5ForTextToSpeech 5 months ago
  • processor_config.json
    493 Bytes
    Upload processor 5 months ago
  • speaker_embedding.npy
    2.18 kB
    xet
    Upload speaker_embedding.npy with huggingface_hub 5 months ago
  • spm_char.model
    238 kB
    xet
    Upload processor 5 months ago
  • tokenizer_config.json
    1.41 kB
    Upload processor 5 months ago