Token Classification
spaCy
Danish
dacy
danish
morphological analysis
dependency parsing
named entity recognition
Eval Results (legacy)
Instructions to use chcaa/da_dacy_edge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use chcaa/da_dacy_edge with spaCy:
!pip install https://huggingface.co/chcaa/da_dacy_edge/resolve/main/da_dacy_edge-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("da_dacy_edge") # Importing as module. import da_dacy_edge nlp = da_dacy_edge.load() - Notebooks
- Google Colab
- Kaggle
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README.md
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- universal-dependencies/universal_dependencies
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- alexandrainst/dane
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- alexandrainst/dacoref
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metrics:
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- accuracy
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---
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| Feature | Description |
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| --- | --- |
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| **Name** | `da_dacy_edge` |
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| **Version** | `0.
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| **spaCy** | `>=3.8.14,<3.9.0` |
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| **Default Pipeline** | `tok2vec`, `morphologizer`, `parser`, `lemmatizer`, `attribute_ruler`, `ner` |
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| **Components** | `tok2vec`, `morphologizer`, `parser`, `lemmatizer`, `senter`, `attribute_ruler`, `ner` |
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- universal-dependencies/universal_dependencies
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- alexandrainst/dane
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- alexandrainst/dacoref
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- chcaa/dacy-data
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metrics:
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- accuracy
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---
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| Feature | Description |
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| --- | --- |
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| **Name** | `da_dacy_edge` |
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| **Version** | `1.0.0` |
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| **spaCy** | `>=3.8.14,<3.9.0` |
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| **Default Pipeline** | `tok2vec`, `morphologizer`, `parser`, `lemmatizer`, `attribute_ruler`, `ner` |
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| **Components** | `tok2vec`, `morphologizer`, `parser`, `lemmatizer`, `senter`, `attribute_ruler`, `ner` |
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