Instructions to use mikhail-panzo/dutch_example with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mikhail-panzo/dutch_example with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="mikhail-panzo/dutch_example")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("mikhail-panzo/dutch_example") model = AutoModelForTextToSpectrogram.from_pretrained("mikhail-panzo/dutch_example", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1000
Browse files
runs/Apr07_04-15-20_6512c834504f/events.out.tfevents.1712463338.6512c834504f.3341.0
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