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nbailab-base-ner-scandi

Token Classification Transformers PyTorch Safetensors
7 languages bert Inference Endpoints
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@@ -33,6 +33,7 @@ This model is a fine-tuned version of [NbAiLab/nb-bert-base](https://huggingface
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  The following is the Micro-F1 NER performance on Scandinavian NER test datasets, compared with the current state-of-the-art:
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  | **Model ID** | **DaNE** | **NorNE-NB** | **NorNE-NN** | **SUC 3.0** | **WikiANN-IS** | **WikiANN-FO** |
 
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  | saattrupdan/nbailab-base-ner-scandi | 87.44 ± 0.81 | 91.06 ± 0.26 | 90.42 ± 0.61 | 88.37 ± 0.17 | 88.61 ± 0.41 | 90.22 ± 0.46 |
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  | chcaa/da\_dacy\_large\_trf | 83.61 ± 1.18 | 78.90 ± 0.49 | 72.62 ± 0.58 | 53.35 ± 0.17 | 50.57 ± 0.46 | 51.72 ± 0.52 |
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  The following is the Micro-F1 NER performance on Scandinavian NER test datasets, compared with the current state-of-the-art:
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  | **Model ID** | **DaNE** | **NorNE-NB** | **NorNE-NN** | **SUC 3.0** | **WikiANN-IS** | **WikiANN-FO** |
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+ | :----------- | :------: | :----------: | :----------: | :---------: | :------------: | :------------: |
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  | saattrupdan/nbailab-base-ner-scandi | 87.44 ± 0.81 | 91.06 ± 0.26 | 90.42 ± 0.61 | 88.37 ± 0.17 | 88.61 ± 0.41 | 90.22 ± 0.46 |
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  | chcaa/da\_dacy\_large\_trf | 83.61 ± 1.18 | 78.90 ± 0.49 | 72.62 ± 0.58 | 53.35 ± 0.17 | 50.57 ± 0.46 | 51.72 ± 0.52 |
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