Text-to-Speech
Transformers
Safetensors
Dyula
vits
text-to-audio
mms
multilingual
Open-Source
Burkina Faso
Dioula
Eval Results (legacy)
Instructions to use ArissBandoss/dioula-tts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArissBandoss/dioula-tts with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="ArissBandoss/dioula-tts")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("ArissBandoss/dioula-tts") model = AutoModelForTextToWaveform.from_pretrained("ArissBandoss/dioula-tts", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Downloads last month
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Model tree for ArissBandoss/dioula-tts
Base model
facebook/mms-ttsEvaluation results
- Subjective Qualityself-reportedN/A