Milutin Studen commited on
Update README.md
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README.md
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@@ -65,7 +65,7 @@ encoded_input = tokenizer(sentences, padding=True, truncation=True, return_tenso
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with torch.no_grad():
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model_output = model(**encoded_input)
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# Perform pooling. In this case,
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sentence_embeddings = mean_pooling(model_output, encoded_input['attention_mask'])
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print("Sentence embeddings:")
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with torch.no_grad():
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model_output = model(**encoded_input)
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# Perform pooling. In this case, mean pooling.
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sentence_embeddings = mean_pooling(model_output, encoded_input['attention_mask'])
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print("Sentence embeddings:")
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