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:
- facdb3d0d1733316a310a54173542609b6fdf8b920b47c20700ed8214d43a0ff
- Size of remote file:
- 5.7 kB
- SHA256:
- e7978f0524f1560fd4a4ed8eeaf97c35c9ee4ad79d5d1ad600dafc43a7933575
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