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
Training in progress, step 1000
Browse files
model.safetensors
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runs/Dec28_16-33-13_227775606f54/events.out.tfevents.1735403758.227775606f54.383.0
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