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| from txtai.embeddings import Embeddings | |
| from txtai.pipeline import Extractor | |
| # Create embeddings model, backed by sentence-transformers & transformers | |
| embeddings = Embeddings({"path": "sentence-transformers/nli-mpnet-base-v2"}) | |
| # Create extractor instance | |
| extractor = Extractor(embeddings, "distilbert-base-cased-distilled-squad") |
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