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# PyLate model based on answerdotai/answerai-colbert-small-v1
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This is a [answerdotai/answerai-colbert-small-v1](https://huggingface.co/answerdotai/answerai-colbert-small-v1) model converted to PyLate format. It maps sentences & paragraphs to sequences of 96-dimensional dense vectors and can be used for semantic textual similarity using the MaxSim operator.
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## Model Details
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# PyLate model based on answerdotai/answerai-colbert-small-v1
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This is a [answerdotai/answerai-colbert-small-v1](https://huggingface.co/answerdotai/answerai-colbert-small-v1) model converted to [PyLate](https://github.com/lightonai/pylate) format. It maps sentences & paragraphs to sequences of 96-dimensional dense vectors and can be used for semantic textual similarity using the MaxSim operator.
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## Model Details
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