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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 52fa994dac26024e1b5b609abea831782b9e525e7b036317ec6109e2c9ccbe4f
- Size of remote file:
- 5.7 kB
- SHA256:
- 2ac03aa665ae25f490f7578e3e6e83093786be26d79a39866d4775497b3d95ed
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