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:
- ae817c3a9d5680f84b1898332b064fdc1a165579e0bd8a9ab07d2fb4f54bd768
- Size of remote file:
- 4.99 GB
- SHA256:
- d4d3c56e39e95d06f363d2c4dfb45b6f9c95f28fbf36b5033879069726328e41
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