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:
- 695adebdb38d956d7e7f2ae2617b1ccc2b16e4be0b6f68a351171815012f3e79
- Size of remote file:
- 4.89 GB
- SHA256:
- cef345d73c5519e8acdbf78f5cdbc2cfa816bfe3ab127919a987281bc660f028
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