Instructions to use minishlab/potion-code-16M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Model2Vec
How to use minishlab/potion-code-16M with Model2Vec:
from model2vec import StaticModel model = StaticModel.from_pretrained("minishlab/potion-code-16M") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 91f65c21d3cc341a0fb0b3fac08cfcbf9c1dcffce95fb47ec8b347916760336d
- Size of remote file:
- 64.3 MB
- SHA256:
- ca6159081a6e96cebe4ad878e5e8437bfccc761e8db16223370149cd2faa6c0b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.