Instructions to use derrickdso/samplegen-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use derrickdso/samplegen-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="derrickdso/samplegen-small")# Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("derrickdso/samplegen-small") model = AutoModelForTextToWaveform.from_pretrained("derrickdso/samplegen-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c25e5a88b6233f77728364d15d5cb9a0903368710a9e287b6d2656d302a0ffa6
- Size of remote file:
- 2.36 GB
- SHA256:
- 1bdc99d43eb6c775967df24b65b0a9f847c0907e95664698d93b5a1c35f5090d
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