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:
- 57ef9c67acc818d72b4468e92a528e097b25897e38b2a57a7476bb4b0033eb63
- Size of remote file:
- 1.06 kB
- SHA256:
- 3e53953f87fd01194d381ec675b068b3ab8ad821b92137fa8d05dcadb5cc7d7a
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