Instructions to use gusdelact/flores-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use gusdelact/flores-classifier with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("gusdelact/flores-classifier", "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:
- b7f97ad56465cb01353fcc96e0444284bfc2fa0ae79bd2f2a0af4d3acbe49a6d
- Size of remote file:
- 522 Bytes
- SHA256:
- 59c14f9f5ffcd26188226746d0602c8552e0452045e6981138a8e946839ae45c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.