Instructions to use clowndhim/Model_Coba-Coba-Berhadiah with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use clowndhim/Model_Coba-Coba-Berhadiah with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("clowndhim/Model_Coba-Coba-Berhadiah", "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
Create requirement.txt
Browse files- requirement.txt +58 -0
requirement.txt
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asttokens 3.0.0
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certifi 2025.7.9
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charset-normalizer 3.4.2
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colorama 0.4.6
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comm 0.2.2
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contourpy 1.3.2
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cycler 0.12.1
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debugpy 1.8.14
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decorator 5.2.1
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executing 2.2.0
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filelock 3.18.0
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fonttools 4.58.4
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fsspec 2025.5.1
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huggingface-hub 0.33.2
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idna 3.10
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inquirerpy 0.3.4
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ipykernel 6.29.5
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ipython 9.3.0
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ipython_pygments_lexers 1.1.1
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jedi 0.19.2
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joblib 1.5.1
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jupyter_client 8.6.3
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jupyter_core 5.8.1
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kiwisolver 1.4.8
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matplotlib 3.10.3
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matplotlib-inline 0.1.7
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nest-asyncio 1.6.0
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numpy 2.3.1
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packaging 25.0
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pandas 2.3.0
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parso 0.8.4
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pfzy 0.3.4
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pillow 11.2.1
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pip 24.0
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platformdirs 4.3.8
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prompt_toolkit 3.0.51
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psutil 7.0.0
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pure_eval 0.2.3
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Pygments 2.19.2
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pyparsing 3.2.3
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python-dateutil 2.9.0.post0
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pytz 2025.2
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pywin32 310
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PyYAML 6.0.2
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pyzmq 27.0.0
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requests 2.32.4
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scikit-learn 1.7.0
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scipy 1.16.0
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six 1.17.0
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stack-data 0.6.3
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threadpoolctl 3.6.0
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tornado 6.5.1
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tqdm 4.67.1
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traitlets 5.14.3
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typing_extensions 4.14.1
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tzdata 2025.2
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urllib3 2.5.0
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wcwidth 0.2.13
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