Instructions to use SkunkworksAI/Mistralic-7B-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SkunkworksAI/Mistralic-7B-1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SkunkworksAI/Mistralic-7B-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1315b0a14e39016cf9d7315baa33b33a6792e179798860365c69dccf14fe3da6
- Size of remote file:
- 9.94 GB
- SHA256:
- ea284a24a4d42047bc5b0a99840420497496eff7d9af6c76b8020c9aac3b3ac4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.