chcaa
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da_dacy_medium_ner_fine_grained

Token Classification

Eval Results (legacy)

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emiltj commited on Mar 14, 2023

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@@ -34,7 +34,8 @@ At the time of publishing this model, also included in DaCy encorporates the onl
 Moreover, DaCy's largest pipeline has achieved State-of-the-Art performance on Named entity recognition, part-of-speech tagging and dependency parsing for Danish on the DaNE dataset.
 Check out the [DaCy repository](https://github.com/centre-for-humanities-computing/DaCy) for material on how to use DaCy and reproduce the results.
 DaCy also contains guides on usage of the package as well as behavioural test for biases and robustness of Danish NLP pipelines.
 | Feature | Description |
 | --- | --- |

 Moreover, DaCy's largest pipeline has achieved State-of-the-Art performance on Named entity recognition, part-of-speech tagging and dependency parsing for Danish on the DaNE dataset.
 Check out the [DaCy repository](https://github.com/centre-for-humanities-computing/DaCy) for material on how to use DaCy and reproduce the results.
 DaCy also contains guides on usage of the package as well as behavioural test for biases and robustness of Danish NLP pipelines.
+For information about the use of this model as well as guides to its use, please refer to [DaCys documentation](https://centre-for-humanities-computing.github.io/DaCy/using_dacy.html).
 | Feature | Description |
 | --- | --- |