Text Classification
Transformers
PyTorch
Italian
Inference Endpoints
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@@ -66,8 +66,14 @@ This model analyses the input text and provides an answer whether in the text th
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  ## Uses
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  <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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- The model should be used giving a short paragraph of text in Italian as input
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  about which it is requested to get an answer about whether or not it contains a change of topic.
 
 
 
 
 
 
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  ### Direct Use
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  ## Uses
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  <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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+ The model should be used giving as input a short paragraph of text taken from a news programme or article in Italian
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  about which it is requested to get an answer about whether or not it contains a change of topic.
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+ The model has been trained to detect topic changes without apriori knowledge of possible points of separation (e.g., paragraphs or speaker turns).
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+ For this reason it tends to be sensitive to the amount of text supposed to belong to either of the two subsequent topics, and therefore performs better when
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+ the sought for topic change occurs approximately in the middle of the input. To reduce the impact of this issue, it is suggested to use
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+ the model on a sequence of partially overlapping pieces of text taken from the document to be analysed, and to further process the results sequence
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+ to consolidate a decision.
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+
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  ### Direct Use
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