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ctu-aic
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CE-fernet-c5-sfle512

Safetensors
Czech
bert
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Update README.md

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@@ -15,7 +15,7 @@ The model can be used both for Semantic Textual Similarity and re-ranking.
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  ```python
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  from sentence_transformers import CrossEncoder
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- model = CrossEncoder('ctu-aic/CE-fernet-c5-sfle512 ', max_length=512)
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  scores = model.predict([["sentence_1", "sentence_2"]])
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  print(scores)
@@ -28,7 +28,7 @@ print(scores)
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  ```python
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  from sentence_transformers import CrossEncoder
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- model = CrossEncoder('ctu-aic/CE-fernet-c5-sfle512 ', max_length=512)
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  query = "Example query for."
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  ```python
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  from sentence_transformers import CrossEncoder
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+ model = CrossEncoder('ctu-aic/CE-fernet-c5-sfle512', max_length=512)
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  scores = model.predict([["sentence_1", "sentence_2"]])
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  print(scores)
 
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  ```python
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  from sentence_transformers import CrossEncoder
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+ model = CrossEncoder('ctu-aic/CE-fernet-c5-sfle512', max_length=512)
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  query = "Example query for."
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