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@@ -222,6 +222,13 @@ print(similarity)
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  # tensor([[0.9118]])
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  ```
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  ## Performance
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  nomic-embed-text-v2-moe performance on BEIR and MIRACL compared to other open-weights embedding models:
 
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  # tensor([[0.9118]])
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  ```
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+ For truncation/Matryoshka embeddings, you can specify `truncate_dim` and use the model similarly
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+
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+ ```python
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+ model = SentenceTransformer("nomic-ai/nomic-embed-text-v2-moe", trust_remote_code=True, truncate_dim=256)
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+ ...
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+ ```
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+
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  ## Performance
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  nomic-embed-text-v2-moe performance on BEIR and MIRACL compared to other open-weights embedding models: