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Update README.md

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@@ -2,7 +2,7 @@ This model classifies a pair of passages as continuing or not.
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  In other words, the model classifies if the linebreak between the pair of input is correct or not.
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  # Usage with SentenceTransformers
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- The usage becomes easier when you have SentenceTransformers installed. Then, you can use the pre-trained models like this:
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  ```python
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  from sentence_transformers import CrossEncoder
@@ -10,7 +10,6 @@ model = CrossEncoder('model_name')
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  scores = model.predict([(Paragraph1a, Paragraph1b), (Paragraph2a, Paragraph2b) , (Paragraph3a, Paragraph3b)])
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  ```
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  # Usage with Huggingface Transformers
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- The usage becomes easier when you have SentenceTransformers installed. Then, you can use the pre-trained models like this:
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  ```python
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  from transformers import AutoTokenizer, AutoModelForSequenceClassification
 
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  In other words, the model classifies if the linebreak between the pair of input is correct or not.
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  # Usage with SentenceTransformers
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+ The usage becomes easier when you have SentenceTransformers installed (trained with SetenceTransformers). Then, you can use the pre-trained models like this:
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  ```python
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  from sentence_transformers import CrossEncoder
 
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  scores = model.predict([(Paragraph1a, Paragraph1b), (Paragraph2a, Paragraph2b) , (Paragraph3a, Paragraph3b)])
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  ```
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  # Usage with Huggingface Transformers
 
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  ```python
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  from transformers import AutoTokenizer, AutoModelForSequenceClassification