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:
- 7978f8aab866006b8d34543dbb2de7cb0b56a5a4e25416eba8bca87944cfde2d
- Size of remote file:
- 4.97 GB
- SHA256:
- a74f0baf2f6622c989244b5628ca50176f6ddb425c992c0fd592c0ee540f05f1
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