Text-to-Speech
Transformers
Safetensors
Kabyle
agbalu_speech
feature-extraction
kabyle
taqbaylit
berber
amazigh
speech-synthesis
voice-cloning
cross-lingual-voice-cloning
expressive-speech
low-resource
custom_code
Instructions to use agbalu/Matoub-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use agbalu/Matoub-4B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="agbalu/Matoub-4B", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("agbalu/Matoub-4B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
6 days ago
-
Upload folder using huggingface_hub
Verified signature1694b40
7 days ago
-
Upload folder using huggingface_hub
Verified signature3699b0a