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Update README.md

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@@ -15,7 +15,7 @@ library_name: transformers
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  ---
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  # Model Card for Model ID
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- This model is a BERT-based Masked Language Model fine-tuned on Italian legal texts. It is designed to predict masked tokens in legal documents and capture domain-specific semantic and syntactic structures.
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@@ -82,7 +82,7 @@ print("Prediction:", predicted_token)
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  - **Source:** Provided by *Infocube*,
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  - **Size:** 15,646 documents
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  - **Language:** Italian
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- - **Domain:** Legal and administrative texts
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  - Formal and technical legal language
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  - Frequent references to laws, decrees, and legislative articles
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  - Structured format with numbered provisions and cross-citations
 
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  ---
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  # Model Card for Model ID
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+ This model is a BERT-based Masked Language Model fine-tuned on Italian legal texts (municipal delibera domain). It is designed to predict masked tokens in legal documents and capture domain-specific semantic and syntactic structures.
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  - **Source:** Provided by *Infocube*,
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  - **Size:** 15,646 documents
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  - **Language:** Italian
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+ - **Domain:** Legal and administrative texts (municipal delibera doma
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  - Formal and technical legal language
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  - Frequent references to laws, decrees, and legislative articles
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  - Structured format with numbered provisions and cross-citations