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:
- 9318d91f3a5cf3bbb141c26bf18c0e7a7c6f5c1ce21120d173e357dfd748f378
- Size of remote file:
- 4.89 GB
- SHA256:
- 875b6bbe1989981fda3a8292e13bd38bfc7f85445d8a77458f98b176fe7a941a
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