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:
- a9bf2a5fa7c76bcb4e86e8f913117c2bba251118e9c23d8b3a90089bb43c2e63
- Size of remote file:
- 4.89 GB
- SHA256:
- 6c9a4dc6bd7aed888a65fcf9ad83d8c6b697b749c26c0250f4c0ce0234f312ea
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