Instructions to use Trimux/basqueModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Trimux/basqueModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="Trimux/basqueModel")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("Trimux/basqueModel") model = AutoModelForTextToWaveform.from_pretrained("Trimux/basqueModel") - Notebooks
- Google Colab
- Kaggle
Upload model
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