Instructions to use Tiiny/TurboSparse-Mixtral with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tiiny/TurboSparse-Mixtral with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Tiiny/TurboSparse-Mixtral", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Tiiny/TurboSparse-Mixtral", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 40314f7e6671d1a3cc678d8dc20cb89399e3886f9b6ab2ad28f98b2885ba82c6
- Size of remote file:
- 5 GB
- SHA256:
- 8c4484f8f8b447dff514da4ca15e4742f9aec2ce576ff6bacf8dac399b84d338
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