Instructions to use Flaglab/ESNLIR-Baseline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use Flaglab/ESNLIR-Baseline with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("Flaglab/ESNLIR-Baseline", "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
Download metrics.zip from Flaglab/ESNLIR-Baseline: direct link, hf CLI and curl.
- Browser
- Download file 1.42 MB
-
https://huggingface.co/Flaglab/ESNLIR-Baseline/resolve/main/metrics.zip
- Command line
-
hf download hf://Flaglab/ESNLIR-Baseline/metrics.zip
-
curl -L -o metrics.zip https://huggingface.co/Flaglab/ESNLIR-Baseline/resolve/main/metrics.zip
1.42 MB
- Xet hash:
- 1cc6982095057e24b73465066800eaaf96e05fb118d44f623bc50d4aee87d962
- Size of remote file:
- 1.42 MB
- SHA256:
- 2ae4b7c716c86281d94ce50c6d82f2ab16fa46d2a97c7130ba3ca0709b33042a
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