Instructions to use pharaouk/Mistral-Mind-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pharaouk/Mistral-Mind-7B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("pharaouk/Mistral-Mind-7B", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d2f6649b269c1e4775410d01b6735f393a82227bab86740846326e3df154e07f
- Size of remote file:
- 620 Bytes
- SHA256:
- 44e972929ad46908648b92c2feb180fb201dab6bdc232a5bc5776a74d47e0e0a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.