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:
- 94257e9a6eed19de7daa277d393e128a93caa726eb3b52065c469b9ca5995843
- Size of remote file:
- 4.97 GB
- SHA256:
- db5b5de815ba1e224a31753cd27d053575ff2436ecce5aa1884437f4b9d80f44
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