2023-05-11 10:06:39 -04:00
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#!/usr/bin/env python3
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# preload the embedding model, useful for Docker images to prevent re-download on config change
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# Dockerfile:
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2023-11-10 10:34:27 -05:00
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# ENV OPENEDAI_EMBEDDING_MODEL="sentence-transformers/all-mpnet-base-v2" # Optional
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2023-05-11 10:06:39 -04:00
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# RUN python3 cache_embedded_model.py
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2023-09-15 23:11:16 -04:00
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import os
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import sentence_transformers
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2023-11-10 10:34:27 -05:00
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st_model = os.environ.get("OPENEDAI_EMBEDDING_MODEL", "sentence-transformers/all-mpnet-base-v2")
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2023-05-11 10:06:39 -04:00
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model = sentence_transformers.SentenceTransformer(st_model)
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