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Update README.md

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  ---
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  language:
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  - da
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- tags:
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- - ner
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- - bert
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- - pytorch
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- - transformers
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  license: cc-by-sa-4.0
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  datasets:
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- - DaNE
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- metrics:
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- - f1
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  widget:
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  - text: "Jens Peter Hansen kommer fra Danmark"
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  ---
@@ -27,8 +20,8 @@ Here is how to use the model:
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  ```python
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  from transformers import BertTokenizer, BertForTokenClassification
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- model = BertForTokenClassification.from_pretrained("DaNLP/da-bert-ner")
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- tokenizer = BertTokenizer.from_pretrained("DaNLP/da-bert-ner")
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  ```
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  ## Training Data
 
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  ---
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  language:
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  - da
 
 
 
 
 
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  license: cc-by-sa-4.0
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  datasets:
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+ - dane
 
 
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  widget:
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  - text: "Jens Peter Hansen kommer fra Danmark"
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  ---
 
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  ```python
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  from transformers import BertTokenizer, BertForTokenClassification
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+ model = BertForTokenClassification.from_pretrained("alexandrainst/da-bert-ner")
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+ tokenizer = BertTokenizer.from_pretrained("alexandrainst/da-bert-ner")
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  ```
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  ## Training Data