Tom Aarsen
commited on
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e8198f2
Add link to the other static model
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README.md
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@@ -8470,6 +8470,8 @@ This is a [sentence-transformers](https://www.SBERT.net) model trained on the [g
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* **Evaluations:** See [Evaluations](#evaluation) for details on performance on NanoBEIR, embedding speed, and Matryoshka dimensionality truncation. In short, this model is **87.4%** as performant as the commonly used [`all-mpnet-base-v2`](https://huggingface.co/sentence-transformers/all-mpnet-base-v2).
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* **Training Script:** See [train.py](train.py) for the training script used to train this model from scratch.
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## Model Details
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### Model Description
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* **Evaluations:** See [Evaluations](#evaluation) for details on performance on NanoBEIR, embedding speed, and Matryoshka dimensionality truncation. In short, this model is **87.4%** as performant as the commonly used [`all-mpnet-base-v2`](https://huggingface.co/sentence-transformers/all-mpnet-base-v2).
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* **Training Script:** See [train.py](train.py) for the training script used to train this model from scratch.
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See [`static-similarity-mrl-multilingual-v1`](https://huggingface.co/sentence-transformers/static-similarity-mrl-multilingual-v1) for a general-purpose multilingual static embedding model. It's been trained for semantic textual similarity, paraphrase mining, text classification, clustering, and more.
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## Model Details
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### Model Description
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