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# STS Benchmark Optimization
Stsb TinyBERT L4
Apache-2.0
A cross-encoder model trained on the TinyBERT-L4 architecture for predicting semantic similarity scores (0-1) between two sentences.
Text Embedding English
S
cross-encoder
17.62k
3
Stsb Roberta Large
Apache-2.0
This model is a cross-encoder trained based on the RoBERTa-large architecture, specifically designed to predict semantic similarity between two sentences, with scores ranging from 0 to 1.
Text Embedding English
S
cross-encoder
162.65k
11
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