Containerize an ML model
Package ML models for deployment
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Write a Dockerfile to containerize a Python ML model serving API built with FastAPI. The model is loaded from [model path], uses [list dependencies], and exposes a /predict endpoint. Optimize the image for size using multi-stage builds, pin all dependency versions, and add a health check endpoint.
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Pour éviter d'alourdir l'image, montez le modèle via un volume Docker ou téléchargez‑le au démarrage plutôt que de le copier. Ajoutez un `.dockerignore` pour exclure le cache pip et les fichiers inutiles.
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