Instructions to use Jensen-holm/Sequence-Plus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use Jensen-holm/Sequence-Plus with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("Jensen-holm/Sequence-Plus", "sklearn_model.joblib") ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 65ad0d4c0b76b0b051a47a37c948d41688e8fa47a2e45cd9599ab61c0bd7bac0
- Size of remote file:
- 1.3 MB
- SHA256:
- 0111811eda44994608f5cb7d9ad10362288cb788dc2a837b4da0f24df3d66163
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.