Text-to-Speech
Transformers
Safetensors
Bambara
vits
text-to-audio
mms
multilingual
Open-Source
Mali
Bambara
Eval Results (legacy)
Instructions to use sudoping01/bambara-tts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sudoping01/bambara-tts with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="sudoping01/bambara-tts")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("sudoping01/bambara-tts") model = AutoModelForTextToWaveform.from_pretrained("sudoping01/bambara-tts") - Notebooks
- Google Colab
- Kaggle
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