Instructions to use Chithekitale/chichewa_tts_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Chithekitale/chichewa_tts_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="Chithekitale/chichewa_tts_v2")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("Chithekitale/chichewa_tts_v2") model = AutoModelForTextToSpectrogram.from_pretrained("Chithekitale/chichewa_tts_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 79978b025c55f8c9eb7097137c11e8bc5c1adee0712712b3f1101650e0d6ba63
- Size of remote file:
- 578 MB
- SHA256:
- d11616b711866cf40f4c7611309a69ff1a2fcbe8cd1b7f392c97a7c5de0a78b7
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