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:
- 21a9a953a7c60c0e5ad487a8e1325cb83e7e1973d208432d5d1bf2711c767ba7
- Size of remote file:
- 5 GB
- SHA256:
- 11941794d3cbcc1c5c5fb6b0bdeb049d071ba78a2d4fec4c2f305f28a08d2098
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