Text-to-Speech
Transformers
Safetensors
Ewe
tts
ewe
ewegbe
gbe
low-resource
african-languages
spark-tts
Instructions to use analist/spark-tts-ewe-cotia with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use analist/spark-tts-ewe-cotia with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="analist/spark-tts-ewe-cotia")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("analist/spark-tts-ewe-cotia", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 905f1734cb880a4ed4f91c6db550e4c4302127ddb2100a4ccb9eecfc3813dab5
- Size of remote file:
- 14.1 MB
- SHA256:
- 9c8b057d6ca205a429cc3428b9fc815f0d6ee1d53106dd5e5b129ef9db2ff057
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