Instructions to use microsoft/speecht5_vc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/speecht5_vc with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, SpeechT5ForSpeechToSpeech processor = AutoProcessor.from_pretrained("microsoft/speecht5_vc") model = SpeechT5ForSpeechToSpeech.from_pretrained("microsoft/speecht5_vc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from microsoft/speecht5_vc: direct link, hf CLI and curl.
- Browser
- Download file 621 MB
-
https://huggingface.co/microsoft/speecht5_vc/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://microsoft/speecht5_vc/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/microsoft/speecht5_vc/resolve/main/pytorch_model.bin
621 MB
- Xet hash:
- c74b31d5208dbdd75a112e4478f5b9f956df701724494c181fe61e0cb67b1250
- Size of remote file:
- 621 MB
- SHA256:
- 01ca6385b775ae70a252ca05e688cea5f61899c07ed5b3810a5166bcade0283c
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