Text-to-Speech
Transformers
Safetensors
Bambara
qwen2
text-generation
tts
spark-tts
llm-based-tts
bambara
african-languages
open-source
mali
maliba-ai
text-generation-inference
unsloth
Eval Results (legacy)
Instructions to use MALIBA-AI/bambara-tts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MALIBA-AI/bambara-tts with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="MALIBA-AI/bambara-tts")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("MALIBA-AI/bambara-tts") model = AutoModelForCausalLM.from_pretrained("MALIBA-AI/bambara-tts", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Welcome to the community
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