Instructions to use gitgato/mms-tts-mabama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gitgato/mms-tts-mabama with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="gitgato/mms-tts-mabama")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("gitgato/mms-tts-mabama", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download reference.wav from gitgato/mms-tts-mabama: direct link, hf CLI and curl.
- Browser
- Download file 2.94 MB
-
https://huggingface.co/gitgato/mms-tts-mabama/resolve/main/reference.wav
- Command line
-
hf download hf://gitgato/mms-tts-mabama/reference.wav
-
curl -L -o reference.wav https://huggingface.co/gitgato/mms-tts-mabama/resolve/main/reference.wav
2.94 MB
- Xet hash:
- 2a7775d752aad7ff203e07db22256a0cd49ea3c0b931792bdcc42aa5dcc00dab
- Size of remote file:
- 2.94 MB
- SHA256:
- 09dd975e86856db396c4b2372edd71f23e96e0ce876a9437cefbfcf349bef672
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