Instructions to use Somalitts/1-maanta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Somalitts/1-maanta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="Somalitts/1-maanta")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("Somalitts/1-maanta") model = AutoModelForTextToSpectrogram.from_pretrained("Somalitts/1-maanta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e1fe09d490bfc07b2ab78928e15880a20277d338ca679c1cc42b0bae8703c4e5
- Size of remote file:
- 5.43 kB
- SHA256:
- 318c179a06645e1ef7dd2aebe9ba278838b9b6ee68186397d71cad9c2393f279
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.