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Multi-task instructor model with quantization support & weak_lru cache for embedding function models (#612)
resolves #608
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@@ -53,7 +53,7 @@ tests = ["pandas>=1.4", "pytest", "pytest-mock", "pytest-asyncio", "requests"]
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dev = ["ruff", "pre-commit", "black"]
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docs = ["mkdocs", "mkdocs-jupyter", "mkdocs-material", "mkdocstrings[python]"]
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clip = ["torch", "pillow", "open-clip"]
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embeddings = ["openai", "sentence-transformers", "torch", "pillow", "open-clip-torch", "cohere"]
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embeddings = ["openai", "sentence-transformers", "torch", "pillow", "open-clip-torch", "cohere", "InstructorEmbedding"]
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[project.scripts]
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lancedb = "lancedb.cli.cli:cli"
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