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
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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
| 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 | |