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
Omar Sanseviero commited on
Commit ·
5184e58
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Parent(s): 91c9fac
Remove broken metadata
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README.md
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---
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tags:
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- spacy
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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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- tasks:
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name: NER
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type: token-classification
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metrics:
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- name: Precision
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type: precision
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value: 0.817047817
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- name: Recall
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type: recall
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value: 0.81875
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- name: F Score
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type: f_score
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value: 0.8178980229
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- tasks:
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name: SENTER
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type: token-classification
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metrics:
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- name: Precision
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type: precision
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value: 0.873015873
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- name: Recall
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type: recall
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value: 0.8776595745
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- name: F Score
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type: f_score
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value: 0.875331565
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- tasks:
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name: UNLABELED_DEPENDENCIES
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type: token-classification
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.8714971531
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- tasks:
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name: LABELED_DEPENDENCIES
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type: token-classification
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.8714971531
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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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### Hardware
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This was run an trained on a Quadro RTX 8000 GPU.
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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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### Hardware
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This was run an trained on a Quadro RTX 8000 GPU.
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