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This Model2Vec model is optmized for retrieval tasks. It uses the [potion-base-32M](https://huggingface.co/minishlab/potion-base-32M) base-model, and is fine-tuned using the training approach described in [this blogpost](https://huggingface.co/blog/static-embeddings). It uses static embeddings, allowing text embeddings to be computed orders of magnitude faster on both GPU and CPU. It is designed for applications where computational resources are limited or where real-time performance is critical.
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## Installation
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This Model2Vec model is optmized for retrieval tasks. It uses the [potion-base-32M](https://huggingface.co/minishlab/potion-base-32M) base-model, and is fine-tuned using a modified version of the training approach described in [this blogpost](https://huggingface.co/blog/static-embeddings). It uses static embeddings, allowing text embeddings to be computed orders of magnitude faster on both GPU and CPU. It is designed for applications where computational resources are limited or where real-time performance is critical.
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## Installation
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