Instructions to use ekwek/Soprano-80M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ekwek/Soprano-80M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="ekwek/Soprano-80M")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("ekwek/Soprano-80M") model = AutoModelForCausalLM.from_pretrained("ekwek/Soprano-80M") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2d2825b8e5caeb0df9bf6c8bb1485a59b3c7e724eaef0b9d05400d443e068703
- Size of remote file:
- 57.9 MB
- SHA256:
- 2e7603fcabc58d65e3b5fec2ed61a7ed9c7b941e43a77f63aac0bbc72a6f92e4
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