Instructions to use ekwek/Soprano-1.1-80M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ekwek/Soprano-1.1-80M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="ekwek/Soprano-1.1-80M")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("ekwek/Soprano-1.1-80M") model = AutoModelForCausalLM.from_pretrained("ekwek/Soprano-1.1-80M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 21e00fdcae8a911714182db04389b0b37872066219c2d07c9c83fe69922cf037
- Size of remote file:
- 159 MB
- SHA256:
- 10e8c4223e14115688a1c8a1c5464ebb78826f17fb98ad459da9bce5471866ed
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