Instructions to use Tiiny/TurboSparse-Mixtral-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tiiny/TurboSparse-Mixtral-Instruct with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Tiiny/TurboSparse-Mixtral-Instruct", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Tiiny/TurboSparse-Mixtral-Instruct", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c640ba0ddf8e8b0d5b2487ab15b5302e405440d89462c0e221e00e3817ff7865
- Size of remote file:
- 4.97 GB
- SHA256:
- 1d7ea210ca88516f572951f424587d485957f3c7f3dd7a4dec13707799d8db48
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