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8 lines
443 B
Python
8 lines
443 B
Python
#!/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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# ENV OPENEDAI_EMBEDDING_MODEL=all-mpnet-base-v2 # Optional
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# RUN python3 cache_embedded_model.py
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import os, sentence_transformers
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st_model = os.environ["OPENEDAI_EMBEDDING_MODEL"] if "OPENEDAI_EMBEDDING_MODEL" in os.environ else "all-mpnet-base-v2"
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model = sentence_transformers.SentenceTransformer(st_model)
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