Instructions to use declare-lab/tango2-full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use declare-lab/tango2-full with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="declare-lab/tango2-full")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("declare-lab/tango2-full", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| {"filter_length": 1024, "hop_length": 160, "win_length": 1024, "n_mel_channels": 64, "sampling_rate": 16000, "mel_fmin": 0, "mel_fmax": 8000} |