Instructions to use ibrainf/result with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ibrainf/result with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="ibrainf/result")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("ibrainf/result") model = AutoModelForTextToSpectrogram.from_pretrained("ibrainf/result", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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