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README.md
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pipeline_tag: token-classification
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library_name: gliner
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# Universal NER for Italian (Zero-Shot)
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## Model Description
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This model is designed for Named Entity Recognition (NER) tasks, specifically tailored for the Italian language. It employs a zero-shot learning approach, enabling it to identify a wide range of entities without the need for specific training on those entities. This makes it incredibly versatile for various applications requiring entity extraction from Italian text.
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pipeline_tag: token-classification
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library_name: gliner
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license: afl-3.0
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# Universal NER for Italian (Zero-Shot)
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# I AM STILL WORKING ON THIS MODEL
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## Model Description
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This model is designed for Named Entity Recognition (NER) tasks, specifically tailored for the Italian language. It employs a zero-shot learning approach, enabling it to identify a wide range of entities without the need for specific training on those entities. This makes it incredibly versatile for various applications requiring entity extraction from Italian text.
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