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Tushe
/
shami-tts-multi

Text-to-Speech
Transformers
Arabic
English
tts
vits
levantine-arabic
code-switching
multi-speaker
streaming
arabic
Model card Files Files and versions
xet
Community

Instructions to use Tushe/shami-tts-multi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Tushe/shami-tts-multi with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-speech", model="Tushe/shami-tts-multi")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Tushe/shami-tts-multi", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
shami-tts-multi
170 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
AlaminI's picture
AlaminI
Upload README.md with huggingface_hub
00e7a9c verified about 1 month ago
  • paper
    Upload paper/shami_tts.pdf with huggingface_hub about 1 month ago
  • samples
    Upload folder using huggingface_hub about 1 month ago
  • .gitattributes
    6.08 kB
    Upload paper/shami_tts.pdf with huggingface_hub about 1 month ago
  • README.md
    16.2 kB
    Upload README.md with huggingface_hub about 1 month ago
  • benchmark.json
    278 Bytes
    Upload benchmark.json with huggingface_hub about 1 month ago
  • hams_vits.pt
    155 MB
    xet
    Upload hams_vits.pt with huggingface_hub about 1 month ago
  • hams_vits_config.json
    566 Bytes
    Upload hams_vits_config.json with huggingface_hub about 1 month ago