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saattrupdan
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nbailab-base-ner-scandi

Token Classification Transformers PyTorch Safetensors
7 languages bert Inference Endpoints
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@@ -32,7 +32,7 @@ The model will predict the following four entities:
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  | **Tag** | **Name** | **Description** |
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  | :------ | :------- | :-------------- |
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  | `PER` | Person | The name of a person (e.g., *Peter* and *Mohammed*) |
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- | `LOC` | Location | The name of a location (e.g., *Germany* and *The Red Square*) |
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  | `ORG` | Organisation | The name of an organisation (e.g., *Netto* and *Landsbankinn*) |
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  | `MISC` | Miscellaneous | A named entity of a different kind (e.g., *British Pound* or *Mona Lisa*) |
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  | **Tag** | **Name** | **Description** |
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  | :------ | :------- | :-------------- |
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  | `PER` | Person | The name of a person (e.g., *Peter* and *Mohammed*) |
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+ | `LOC` | Location | The name of a location (e.g., *Germany* and *Den Røde Plads*) |
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  | `ORG` | Organisation | The name of an organisation (e.g., *Netto* and *Landsbankinn*) |
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  | `MISC` | Miscellaneous | A named entity of a different kind (e.g., *British Pound* or *Mona Lisa*) |
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