Token Classification
spaCy
Danish
dacy
danish
pos tagging
morphological analysis
dependency parsing
named entity recognition
Eval Results (legacy)
Instructions to use chcaa/da_dacy_tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use chcaa/da_dacy_tiny with spaCy:
!pip install https://huggingface.co/chcaa/da_dacy_tiny/resolve/main/da_dacy_tiny-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("da_dacy_tiny") # Importing as module. import da_dacy_tiny nlp = da_dacy_tiny.load() - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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- da
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license: apache-2.0
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model-index:
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- name: '
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results:
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name: NER
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config: da_ddt
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library_name: spacy
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datasets:
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- universal_dependencies
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- dane
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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** | `
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| **Version** | `0.3.0` |
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| **spaCy** | `>=3.8.14,<3.9.0` |
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| **Default Pipeline** | `tok2vec`, `lemmatizer`, `tagger`, `morphologizer`, `parser`, `ner` |
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| **Components** | `tok2vec`, `lemmatizer`, `tagger`, `morphologizer`, `parser`, `ner` |
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| **Vectors** | 500000 keys, 500000 unique vectors (300 dimensions) |
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| **Sources** | [UD Danish DDT v2.18](https://github.com/UniversalDependencies/UD_Danish-DDT) (Johannsen, Anders; Martínez Alonso, Héctor; Plank, Barbara)<br>[DaNE](https://huggingface.co/datasets/alexandrainst/dane) (Rasmus Hvingelby, Amalie B. Pauli, Maria Barrett, Christina Rosted, Lasse M. Lidegaard, Anders Søgaard)<br>[spacy/da_core_news_lg](https://huggingface.co/spacy/da_core_news_lg) (Explosion) |
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| **License** | `Apache-2.0` |
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| **Author** | [Johana Mayerova, Mikkel Krøjer Svendsen, Kenneth Enevoldsen](https://chc.au.dk/)|
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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_tiny'
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results:
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- task:
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name: NER
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config: da_ddt
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library_name: spacy
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datasets:
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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_tiny` |
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| **Version** | `0.3.0` |
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| **spaCy** | `>=3.8.14,<3.9.0` |
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| **Default Pipeline** | `tok2vec`, `lemmatizer`, `tagger`, `morphologizer`, `parser`, `ner` |
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| **Components** | `tok2vec`, `lemmatizer`, `tagger`, `morphologizer`, `parser`, `ner` |
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| **Vectors** | 500000 keys, 500000 unique vectors (300 dimensions) |
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| **Sources** | [UD Danish DDT v2.18](https://github.com/UniversalDependencies/UD_Danish-DDT) (Johannsen, Anders; Martínez Alonso, Héctor; Plank, Barbara)<br>[DaCoref](https://huggingface.co/datasets/alexandrainst/dacoref) (Buch-Kromann, Matthias)<br>[DaNE](https://huggingface.co/datasets/alexandrainst/dane) (Rasmus Hvingelby, Amalie B. Pauli, Maria Barrett, Christina Rosted, Lasse M. Lidegaard, Anders Søgaard)<br>[spacy/da_core_news_lg](https://huggingface.co/spacy/da_core_news_lg) (Explosion) |
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| **License** | `Apache-2.0` |
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| **Author** | [Johana Mayerova, Mikkel Krøjer Svendsen, Kenneth Enevoldsen](https://chc.au.dk/)|
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