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@@ -110,6 +110,7 @@ If you want peak performance and do not worry too much about recent developments
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  If you are fine with sacrificing a few points on benchmarks and want the model to know what happened from 2020 on (elections, covid, other cultural events etc.), I'd suggest you use [German_Semantic_V3](https://huggingface.co/aari1995/German_Semantic_V3).
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  **Q: How does the model perform vs. multilingual models?**
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  If you are fine with sacrificing a few points on benchmarks and want the model to know what happened from 2020 on (elections, covid, other cultural events etc.), I'd suggest you use [German_Semantic_V3](https://huggingface.co/aari1995/German_Semantic_V3).
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+ Another noticable difference is that V3 has a broader cosine_similarity spectrum, reaching from -1 to 1 (but mostly, the least is over -0.2). On the other side, V3b is more aligned with V2 and the similarity spectrum is around 0 to 1. Also, V3 uses cls_pooling while V3b uses mean_pooling.
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  **Q: How does the model perform vs. multilingual models?**
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