Pickle Vs M, VS ONNX vs SavedModel vs TorchScript
Pickle Vs M, VS ONNX vs SavedModel vs TorchScript Let’s break it down in terms of purpose, use cases, compatibility, and safety : 🥒 Pickle (.pkl) Pickle is a Python-specific serialization format for objects, including machine learning models. Feature Details Use Case Serializing Python objects (including scikit-learn, XGBoost models) Compatibility Python-only (tight coupling with specific versions) Frameworks scikit-learn, XGBoost, LightGBM, etc. Speed Fast to load/save Portability ❌ Low — not portable across languages or platforms Security ⚠️ Unsafe to unpickle untrusted data (can execute arbitrary code) Deployment Typically for offline inference or Python-based pipelines ✅ Best For : Local development, internal tools, reproducible experiments ❌ Not Ideal For : Cross-platform deployment, mobile/edge/cloud scaling 🧠TensorFlow SavedModel (MD) SavedModel is TensorFlow’s official format for storing trained models for production use. ...






















































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