Update README.md
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@ -55,7 +55,7 @@ For an automated evaluation of this model, see the *Sentence Embeddings Benchmar
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## Full Model Architecture
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```
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SBert(
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CoSENT(
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(0): Transformer({'max_seq_length': 128, 'do_lower_case': False}) with Transformer model: BertModel
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(1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_mean_tokens': True})
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)
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