Instructions to use EYEDOL/SALAMA_TTS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EYEDOL/SALAMA_TTS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="EYEDOL/SALAMA_TTS", device_map="auto")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("EYEDOL/SALAMA_TTS", dtype="auto", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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# 🔊 SALAMA-TTS — Swahili Text-to-Speech Model
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**Developer:** AI4NNOV
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**Version:** v1.0
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**License:** Apache 2.0
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**Model Type:** Text-to-Speech (TTS)
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# 🔊 SALAMA-TTS — Swahili Text-to-Speech Model
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**Developer:** AI4NNOV
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**Version:** v1.0
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**License:** Apache 2.0
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**Model Type:** Text-to-Speech (TTS)
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