Model card for ColBERT v2 BERT Tiny This is a ColBERT model finetuned from google/bert uncased L 2 H 128 A 2 on the msmarco bm25 dataset. It maps sentences & paragraphs to sequences of 128 dimensional dense vectors and can be used for semantic textual similarity using the MaxSim operator. This model is primarily designed for unit tests in limited compute environments such as GitHub Actions. But it does work to an extent for basic use cases.
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