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Update README.md

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@@ -55,7 +55,7 @@ def cls_pooling(model_output):
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  # Sentences we want sentence embeddings for
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- sentences = ['This is an example sentence', 'Each sentence is converted']
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  # Load model from HuggingFace Hub
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  model = AutoModel.from_pretrained('kevinkrahn/shlm-grc-en', trust_remote_code=True)
 
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  # Sentences we want sentence embeddings for
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+ sentences = ['This is an English sentence', ' Παρθενών ἐστιν ἱερὸν καλὸν τῆς Ἀθήνης.']
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  # Load model from HuggingFace Hub
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  model = AutoModel.from_pretrained('kevinkrahn/shlm-grc-en', trust_remote_code=True)