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
| asttokens 3.0.0 | |
| certifi 2025.7.9 | |
| charset-normalizer 3.4.2 | |
| colorama 0.4.6 | |
| comm 0.2.2 | |
| contourpy 1.3.2 | |
| cycler 0.12.1 | |
| debugpy 1.8.14 | |
| decorator 5.2.1 | |
| executing 2.2.0 | |
| filelock 3.18.0 | |
| fonttools 4.58.4 | |
| fsspec 2025.5.1 | |
| huggingface-hub 0.33.2 | |
| idna 3.10 | |
| inquirerpy 0.3.4 | |
| ipykernel 6.29.5 | |
| ipython 9.3.0 | |
| ipython_pygments_lexers 1.1.1 | |
| jedi 0.19.2 | |
| joblib 1.5.1 | |
| jupyter_client 8.6.3 | |
| jupyter_core 5.8.1 | |
| kiwisolver 1.4.8 | |
| matplotlib 3.10.3 | |
| matplotlib-inline 0.1.7 | |
| nest-asyncio 1.6.0 | |
| numpy 2.3.1 | |
| packaging 25.0 | |
| pandas 2.3.0 | |
| parso 0.8.4 | |
| pfzy 0.3.4 | |
| pillow 11.2.1 | |
| pip 24.0 | |
| platformdirs 4.3.8 | |
| prompt_toolkit 3.0.51 | |
| psutil 7.0.0 | |
| pure_eval 0.2.3 | |
| Pygments 2.19.2 | |
| pyparsing 3.2.3 | |
| python-dateutil 2.9.0.post0 | |
| pytz 2025.2 | |
| pywin32 310 | |
| PyYAML 6.0.2 | |
| pyzmq 27.0.0 | |
| requests 2.32.4 | |
| scikit-learn 1.7.0 | |
| scipy 1.16.0 | |
| six 1.17.0 | |
| stack-data 0.6.3 | |
| threadpoolctl 3.6.0 | |
| tornado 6.5.1 | |
| tqdm 4.67.1 | |
| traitlets 5.14.3 | |
| typing_extensions 4.14.1 | |
| tzdata 2025.2 | |
| urllib3 2.5.0 | |
| wcwidth 0.2.13 |