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espnet
/
fastspeech2_conformer

Text-to-Audio
Transformers
PyTorch
English
fastspeech2_conformer
audio
Model card Files Files and versions
xet
Community
1

Instructions to use espnet/fastspeech2_conformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use espnet/fastspeech2_conformer with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-audio", model="espnet/fastspeech2_conformer")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTextToSpectrogram
    
    tokenizer = AutoTokenizer.from_pretrained("espnet/fastspeech2_conformer")
    model = AutoModelForTextToSpectrogram.from_pretrained("espnet/fastspeech2_conformer")
  • Notebooks
  • Google Colab
  • Kaggle
fastspeech2_conformer
281 MB
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  • 1 contributor
History: 29 commits
connor-henderson's picture
connor-henderson
Update README.md
042ba6c over 2 years ago
  • .gitattributes
    1.48 kB
    initial commit almost 3 years ago
  • README.md
    8.85 kB
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  • config.json
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  • pytorch_model.bin

    Detected Pickle imports (4)

    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.LongStorage",
    • "collections.OrderedDict"

    What is a pickle import?

    281 MB
    xet
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  • special_tokens_map.json
    109 Bytes
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  • tokenizer_config.json
    289 Bytes
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  • vocab.json
    809 Bytes
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