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@@ -16,7 +16,7 @@ license: apache-2.0
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  This model was trained to predict the presence of causal relations between two headlines. This model is for the Full task with 7 possible labels: titles are almost the same, A causes B, B causes A, A refutes B, B refutes A, A linked with B in another way, A is not linked to B. English and Russian languages are supported.
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- You can use hosted inference API to infer a label for a headline pair. To do this, you shoud seperate headlines with </s> token.
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  For example:
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  ```
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  Песков опроверг свой перевод на удаленку</s>Дмитрий Песков перешел на удаленку
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  This model was trained to predict the presence of causal relations between two headlines. This model is for the Full task with 7 possible labels: titles are almost the same, A causes B, B causes A, A refutes B, B refutes A, A linked with B in another way, A is not linked to B. English and Russian languages are supported.
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+ You can use hosted inference API to infer a label for a headline pair. To do this, you shoud seperate headlines with ```</s>``` token.
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  For example:
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  ```
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  Песков опроверг свой перевод на удаленку</s>Дмитрий Песков перешел на удаленку