Instructions to use wetdog/speecht5_tts_commonvoice_ca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wetdog/speecht5_tts_commonvoice_ca with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="wetdog/speecht5_tts_commonvoice_ca")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("wetdog/speecht5_tts_commonvoice_ca") model = AutoModelForTextToSpectrogram.from_pretrained("wetdog/speecht5_tts_commonvoice_ca") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 48f64566453b932757f67ae19f7f817b2867f887743a37c11c3e4d91deda3247
- Size of remote file:
- 4.09 kB
- SHA256:
- 9a4daf346cc08bd08a45b40417b60f2ad009275ed534ab10faa730dbd5edb4b6
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