Instructions to use adamchant/run_180k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adamchant/run_180k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="adamchant/run_180k")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("adamchant/run_180k") model = AutoModelForTextToSpectrogram.from_pretrained("adamchant/run_180k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 100000
Browse files
pytorch_model.bin
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runs/Feb13_12-05-37_f1922d0af346/events.out.tfevents.1707825939.f1922d0af346.57.0
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