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:
- e013de0c7feb9b17d91d9aaa6b0905c20b24fbb5e48227a7133e1e3753e93614
- Size of remote file:
- 4.97 GB
- SHA256:
- 83cccb41ba88c635f3103c4e35c33901c9f7d5d70af200ba86683d96b73a25fc
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