Instructions to use Yoyo2o3/GSML_project with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use Yoyo2o3/GSML_project with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("Yoyo2o3/GSML_project", "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
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Download README.md from Yoyo2o3/GSML_project: direct link, hf CLI and curl.
- Browser
- Download file 184 Bytes
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https://huggingface.co/Yoyo2o3/GSML_project/resolve/main/README.md
- Command line
-
hf download hf://Yoyo2o3/GSML_project/README.md
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curl -L -o README.md https://huggingface.co/Yoyo2o3/GSML_project/resolve/main/README.md
184 Bytes
metadata
license: bsl-1.0
datasets:
- QuinnZ129/AI-Assignment-3
language:
- en
- ar
base_model:
- openai/clip-vit-base-patch32
pipeline_tag: reinforcement-learning
library_name: sklearn