Instructions to use wetdog/speecht5_tts_openslr_ca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wetdog/speecht5_tts_openslr_ca with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="wetdog/speecht5_tts_openslr_ca")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("wetdog/speecht5_tts_openslr_ca") model = AutoModelForTextToSpectrogram.from_pretrained("wetdog/speecht5_tts_openslr_ca") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 306d332094626245925290b420c7bd629ba03cec618600e4f063c7263d75656d
- Size of remote file:
- 578 MB
- SHA256:
- a6b1135db4945a4cb1ef836844d806cd09e3c816345fb8f61ea375a1550bc23e
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