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 AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("derrickdso/samplegen-small") model = AutoModelForTextToWaveform.from_pretrained("derrickdso/samplegen-small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1f82d413df5d00e3958dc30d9ff692abc5b58603b970236ba2d1523b58d3dc49
- Size of remote file:
- 841 MB
- SHA256:
- 830fe5771e2835cbd305f3ffdda22d3ff38718fbbe8274bd19dc203265de7244
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