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miCSE

Sentence Similarity
Transformers
PyTorch
Safetensors
English
bert
feature-extraction
text-embeddings-inference
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@@ -141,6 +141,8 @@ umap_plot.points(umap_model, labels = np.array(classes),theme='fire')
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  ```
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  # Benchmark
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  Model results on SentEval Benchmark:
 
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  ```
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+ [![UMAP Cluster](https://raw.githubusercontent.com/TJKlein/tjklein.github.io/master/images/miCSE_UMAP_small2.png)]
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  # Benchmark
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  Model results on SentEval Benchmark: