Token Classification
spaCy
Danish
dacy
danish
pos tagging
morphological analysis
lemmatization
dependency parsing
named entity recognition
coreference resolution
named entity linking
named entity disambiguation
Eval Results (legacy)
Instructions to use chcaa/da_dacy_medium_trf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use chcaa/da_dacy_medium_trf with spaCy:
!pip install https://huggingface.co/chcaa/da_dacy_medium_trf/resolve/main/da_dacy_medium_trf-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("da_dacy_medium_trf") # Importing as module. import da_dacy_medium_trf nlp = da_dacy_medium_trf.load() - Notebooks
- Google Colab
- Kaggle
Kenneth Enevoldsen commited on
Commit ·
0dfe3fa
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Parent(s): 5970ea0
docs: Updated readme
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README.md
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- token-classification
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language:
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- da
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license: apache-2.0
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model-index:
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- name: da_dacy_medium_trf
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results:
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metrics:
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- name: NER Precision
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type: precision
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value: 0.
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- name: NER Recall
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type: recall
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value: 0.
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- name: NER F Score
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type: f_score
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value: 0.
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- task:
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name:
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type: token-classification
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metrics:
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type:
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value: 0.
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- name: SENTER Recall
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type: recall
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value: 0.8776595745
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- name: SENTER F Score
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type: f_score
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value: 0.875331565
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- task:
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name:
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type: token-classification
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metrics:
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type: accuracy
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type: accuracy
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value: 0.
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---
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<a href="https://github.com/centre-for-humanities-computing/Dacy"><img src="https://centre-for-humanities-computing.github.io/DaCy/_static/icon.png" width="175" height="175" align="right" /></a>
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- token-classification
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language:
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- da
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license: apache-2.0-license
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model-index:
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- name: da_dacy_medium_trf
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results:
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metrics:
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- name: NER Precision
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type: precision
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value: 0.8708487085
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- name: NER Recall
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type: recall
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value: 0.8458781362
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- name: NER F Score
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type: f_score
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value: 0.8581818182
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- task:
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name: TAG
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type: token-classification
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metrics:
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- name: TAG (XPOS) Accuracy
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type: accuracy
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value: 0.9847290149
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- task:
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name: POS
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type: token-classification
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metrics:
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- name: POS (UPOS) Accuracy
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type: accuracy
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value: 0.985677928
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- task:
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name: MORPH
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type: token-classification
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metrics:
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- name: Morph (UFeats) Accuracy
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type: accuracy
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value: 0.9814371257
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- task:
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name: UNLABELED_DEPENDENCIES
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type: token-classification
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metrics:
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- name: Unlabeled Attachment Score (UAS)
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type: f_score
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value: 0.9083920564
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- task:
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name: LABELED_DEPENDENCIES
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type: token-classification
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metrics:
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- name: Labeled Attachment Score (LAS)
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type: f_score
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value: 0.883349834
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- task:
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name: SENTS
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type: token-classification
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metrics:
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- name: Sentences F-Score
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type: f_score
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value: 0.9885462555
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---
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<a href="https://github.com/centre-for-humanities-computing/Dacy"><img src="https://centre-for-humanities-computing.github.io/DaCy/_static/icon.png" width="175" height="175" align="right" /></a>
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