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:
- 3c767150c841ce257083e441c21676e3fe37badf96cd9bf1cfdea8d8267e4817
- Size of remote file:
- 578 MB
- SHA256:
- 5da2ae2237301121459a180e4ba78f5f9e7bb38bdaa8cdb88e14237de51f4f39
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