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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d0643f376ecc0e336027cd15c16ce2267fdf27b55cc62743a9a7b82de69a1253
- Size of remote file:
- 4.22 kB
- SHA256:
- bd2a2baa7d309632ad1cc1b49df7ae250ddc4db6fa51c6967110226769cd2e0d
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