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Model2Vec: Making Large-Scale Embedding Generation Manageable
- Model2Vec is a technique that allows for faster and scalable generation of embeddings.
- It distills a large, fully contextualized transformer into a smaller static model.
- While losing some context-awareness, it significantly speeds up the embedding generation process.
- Model2Vec is a practical alternative for large-scale embedding generation tasks.
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