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:
- 1c8d7c4349aeb838fdfdd0cd2beee49ac99d1b4625fd2cdd1a2c80edf2c39ae5
- Size of remote file:
- 4.89 GB
- SHA256:
- 7dfd4a9c3de39e22941838a70806e16fe6e676b817c80eb885c6418d1bb3ddc9
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