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inclusively-classification

E-MIMIC

This model is an Italian classification model fine-tuned from the Italian BERT model for the classification of inclusive language in Italian. It has been trained to detect three classes: - `inclusive`: the sentence is inclusive (e.g. "Il personale docente e non docente") - `not_inclusive`: the sentence is not inclusive (e.g. "I professori") - `not_pertinent`: the sentence is not pertinent to the task (e.g. "La scuola è chiusa") The model has been trained on a dataset containing: - 8580 training sentences - 1073 validation sentences - 1072 test sentences

Text analysis

Input Text→ Output Text

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inclusively-reformulation-it5

E-MIMIC

This model is an Italian sequence-to-sequence model fine-tuned from the IT5-large for the task of inclusive language rewriting. It has been trained to analyze and rewrite sentences in Italian to make them more inclusive (if needed). For example, the sentence `I professori devono essere preparati` (The professors must be prepared) is rewritten as `Il personale docente deve essere preparato` (The teaching staff must be prepared).

Text generationOpen weights

Input Text→ Output Text

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Monthly input tokens 10 MMonthly output tokens 2 M1 M = 1 million tokens · USD
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