Instructions to use Tiiny/TurboSparse-Mistral-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tiiny/TurboSparse-Mistral-Instruct with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Tiiny/TurboSparse-Mistral-Instruct", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Tiiny/TurboSparse-Mistral-Instruct", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 52d2025743ee5baa05e988669cd5f9ba693b025b5e5867e67cdf43d6c3e0c92b
- Size of remote file:
- 86.7 kB
- SHA256:
- 72ce0cac56f1c221d65858511a4ba868be3064fd24b5518ce11e58b59922f76f
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