Instructions to use AddisuSeteye/speecht5_tts_amharic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AddisuSeteye/speecht5_tts_amharic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="AddisuSeteye/speecht5_tts_amharic")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("AddisuSeteye/speecht5_tts_amharic") model = AutoModelForTextToSpectrogram.from_pretrained("AddisuSeteye/speecht5_tts_amharic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 00910668f7da1ff41a0c54d02921325686495f8d62d2026d11d3ac2f4d672201
- Size of remote file:
- 4.22 kB
- SHA256:
- 0cff0349545db740d6202f9c80947456f3ebb3183756b2f1455f2548031ad115
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