Instructions to use Chithekitale/chichewa_tts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Chithekitale/chichewa_tts with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="Chithekitale/chichewa_tts")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("Chithekitale/chichewa_tts") model = AutoModelForTextToSpectrogram.from_pretrained("Chithekitale/chichewa_tts") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a485e23837930aea3e0d4994d0881060c299d17118d342ad9173606029d46b5
- Size of remote file:
- 578 MB
- SHA256:
- 3146f8d77e7e91882a166f9f3d129a495dc0448c24ad332547c2955da451de7b
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