Instructions to use prteek/mnist1d_clf_1v7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use prteek/mnist1d_clf_1v7 with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("prteek/mnist1d_clf_1v7", "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
File size: 368 Bytes
3cd72c9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 | import joblib
import pandas as pd
class EndpointHandler:
def __init__(self, path=""):
self.model = joblib.load(f"{path}/model.joblib")
def __call__(self, data):
# {"inputs": [[x_0, ..., x_39], ...]}
X = pd.DataFrame(data["inputs"], columns=self.model.feature_names_in_)
return {"predictions": self.model.predict(X).tolist()}
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