Instructions to use burak-sisci/otopusula-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use burak-sisci/otopusula-model with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("burak-sisci/otopusula-model", "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
OtoPusula — Araç Fiyat Tahmin Modeli
A2M2 ekibi tarafından geliştirilen ikinci el araç fiyat tahmin modeli.
- Framework: scikit-learn
- Type: Pipeline (preprocessor + RandomForestRegressor)
- File:
araba_modeli.pkl(~1.1 GB)
Kullanım
import pickle
with open("araba_modeli.pkl", "rb") as f:
pipeline = pickle.load(f)
Detay: https://huggingface.co/spaces/burak-sisci/otopusula-ml
Authors
A2M2 Ekibi — Bitirme/Staj Projesi
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