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mmBERT-small-en-az

Feature Extraction

vocabulary-truncation

text-embeddings-inference

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vrashad commited on 2 days ago

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Update README.md

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@@ -33,7 +33,7 @@ This model keeps only the ~72K tokens that actually appear in English and Azerba
 |---|---|---|
 | Vocabulary size | 256,000 | 71,751 |
 | Total parameters | 140.493M | 69.42M |
-| Embedding parameters | 196.6M | 55.1M |
 | Model size (fp32) | 0.52 GB | 0.26 GB |
 | Hidden size | 384 | 384 |
 | Layers | 22 | 22 |

 |---|---|---|
 | Vocabulary size | 256,000 | 71,751 |
 | Total parameters | 140.493M | 69.42M |
+| Embedding parameters | 98.3M | 27.6M |
 | Model size (fp32) | 0.52 GB | 0.26 GB |
 | Hidden size | 384 | 384 |
 | Layers | 22 | 22 |