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cat-emb-2-128

Inference Endpoints

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bwang0911 commited on Jun 13

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@@ -6,12 +6,12 @@ license: apache-2.0
 A set of embedding model trained for study embedding quality vs model architecture (width/depth) given a size constraint (12M params).
-- **cat-emb-tiny-2-128**: 2 layers/hidden size 128/4.4m
-- **cat-emb-tiny-4-128**: 4 layers/H 128/4.8m
-- **cat-emb-tiny-6-128**: 6 layers/H 128/5.2m
-- **cat-emb-tiny-8-128**: 8 layers/H 128/5.6m
-- **cat-emb-tiny-10-128**: 10 layers/H 128/6.0m
-- **cat-emb-tiny-12-128**: 12 layers/H 128/6.4m
-- **cat-emb-mini-2-256**: 2 layers/H 256/9.7m
-- **cat-emb-mini-4-256**: 4 layers/H 256/11.3m

 A set of embedding model trained for study embedding quality vs model architecture (width/depth) given a size constraint (12M params).
+- **cat-emb-2-128**: 2 layers/hidden size 128/4.4m
+- **cat-emb-4-128**: 4 layers/H 128/4.8m
+- **cat-emb-6-128**: 6 layers/H 128/5.2m
+- **cat-emb-8-128**: 8 layers/H 128/5.6m
+- **cat-emb-10-128**: 10 layers/H 128/6.0m
+- **cat-emb-12-128**: 12 layers/H 128/6.4m
+- **cat-emb-2-256**: 2 layers/H 256/9.7m
+- **cat-emb-4-256**: 4 layers/H 256/11.3m