add eval scores
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README.md
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This [Model2Vec](https://github.com/MinishLab/model2vec) model is a distilled version of the [Alibaba-NLP/gte-modernbert-base](https://huggingface.co/Alibaba-NLP/gte-modernbert-base) Sentence Transformer. It uses static embeddings, reduced to 256 dimensions, 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](https://github.com/MinishLab/model2vec) model is a distilled version of the [Alibaba-NLP/gte-modernbert-base](https://huggingface.co/Alibaba-NLP/gte-modernbert-base) Sentence Transformer. It uses static embeddings, reduced to 256 dimensions, 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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## Evaluation results
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Model | STS | WordSim | Classification
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`sky-2002/gte-modernbert-distilled-256-v0`|66.51|25.64 | 60.11
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## Installation
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