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:
- fc50cfd529a55c848ddbf0c2eff0c6692bcf18a762455aeb9008c84a79fa335b
- Size of remote file:
- 4.98 GB
- SHA256:
- 6a22d2c5771e434a27c9b79fcb5bed89a458ec5f5e5792113b69def3e6abc6f3
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