Instructions to use adamchant/dummy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adamchant/dummy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="adamchant/dummy")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("adamchant/dummy") model = AutoModelForTextToSpectrogram.from_pretrained("adamchant/dummy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 33000
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
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