You need to agree to share your contact information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

MLflow joblib model-format PoC

This repository is an authorized security-research proof of concept for MLflow model-format handling.

The artifact is named model.joblib, while the MLmodel file routes loading through the mlflow.sklearn flavor with serialization_format: pickle. When loaded by MLflow, the artifact performs a benign side effect only: it writes /tmp/mlflow_joblib_format_poc. It then returns a small object with a predict() method so inference remains non-destructive.

Expected local trigger:

import mlflow.pyfunc

model = mlflow.pyfunc.load_model("PATH_TO_THIS_REPO")
print(model.predict([1, 2, 3]))

Expected evidence:

/tmp/mlflow_joblib_format_poc exists after load

Downloads last month: -; Downloads are not tracked for this model. How to track

Inference Providers NEW

This model isn't deployed by any Inference Provider. 🙋 Ask for provider support