Downloads · 30 days
34
100% of all-time downloads
da_dacy_edge
chcaa/da_dacy_edge
da_dacy_edge is a token classification model from chcaa. Use it when you need labels on individual words, such as names. It is set up for spacy. The card lists the license as apache-2.0.
<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
All-time downloads
34
Public
Repo size
37.2 MB
Likes
1
Public
Repo makeup
Click a slice to open those files.
Other13.1 MB · 51%
At a glance
- Task
- Token Classification
- Library
- spacy
- License
- apache-2.0
- Access
- Public
- Created
- Sep 16, 2026
- Updated
- Sep 23, 2026
- SHA
- eb15cde3
Model card
From the Hugging Face model README
<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>
DaCy edge
DaCy is a Danish language processing framework with state-of-the-art pipelines as well as functionality for analysing Danish pipelines (Enevoldsen et al., 2021). This model is the edge Dacy pipeline, trained for Danish linguistic annotation and downstream NLP tasks with efficient CPU inference. To read more check out the DaCy repository 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 |
|---|---|
| Name | da_dacy_edge |
| Version | 1.0.0 |
| spaCy | >=3.8.14,<3.9.0 |
| Default Pipeline | tok2vec, morphologizer, parser, lemmatizer, attribute_ruler, ner |
| Components | tok2vec, morphologizer, parser, lemmatizer, senter, attribute_ruler, ner |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | UD Danish DDT v2.18 (Johannsen, Anders; Martínez Alonso, Héctor; Plank, Barbara)<br>DaCoref (Buch-Kromann, Matthias)<br>DaNE (Rasmus Hvingelby, Amalie B. Pauli, Maria Barrett, Christina Rosted, Lasse M. Lidegaard, Anders Søgaard) |
| License | Apache-2.0 |
| Author | Johana Mayerova, Mikkel Krøjer Svendsen, Kenneth Enevoldsen |
Label Scheme
<details> <summary>View label scheme (200 labels for 3 components)</summary>| Component | Labels |
|---|---|
morphologizer | AdpType=Prep|POS=ADP, Definite=Ind|Gender=Com|Number=Sing|POS=NOUN, Mood=Ind|POS=AUX|Tense=Pres|VerbForm=Fin|Voice=Act, POS=PROPN, Definite=Ind|Number=Sing|POS=VERB|Tense=Past|VerbForm=Part, Definite=Def|Gender=Neut|Number=Sing|POS=NOUN, POS=SCONJ, Definite=Def|Gender=Com|Number=Sing|POS=NOUN, Mood=Ind|POS=VERB|Tense=Pres|VerbForm=Fin|Voice=Act, POS=ADV, Number=Plur|POS=DET|PronType=Dem, Degree=Pos|Number=Plur|POS=ADJ, Definite=Ind|Gender=Com|Number=Plur|POS=NOUN, POS=PUNCT, NumType=Ord|POS=ADJ, POS=CCONJ, Definite=Ind|Gender=Neut|Number=Plur|POS=NOUN, POS=VERB|VerbForm=Inf|Voice=Act, Case=Acc|Gender=Neut|Number=Sing|POS=PRON|Person=3|PronType=Prs, Degree=Sup|POS=ADV, Degree=Pos|POS=ADV, Gender=Com|Number=Sing|POS=DET|PronType=Ind, Number=Plur|POS=DET|PronType=Ind, POS=ADP, POS=ADV|PartType=Inf, Case=Nom|Gender=Com|Number=Sing|POS=PRON|Person=3|PronType=Prs, Mood=Ind|POS=AUX|Tense=Past|VerbForm=Fin|Voice=Act, Definite=Def|Degree=Pos|Number=Sing|POS=ADJ, Number[psor]=Sing|POS=DET|Person=3|Poss=Yes|PronType=Prs, Mood=Ind|POS=VERB|Tense=Past|VerbForm=Fin|Voice=Act, POS=ADP|PartType=Inf, Definite=Ind|Degree=Pos|Gender=Com|Number=Sing|POS=ADJ, NumType=Card|POS=NUM, Degree=Pos|POS=ADJ, Definite=Ind|Number=Sing|POS=AUX|Tense=Past|VerbForm=Part, POS=PART|PartType=Inf, Case=Acc|POS=PRON|Person=3|PronType=Prs|Reflex=Yes, Definite=Def|Gender=Com|Number=Plur|POS=NOUN, Definite=Ind|Gender=Neut|Number=Sing|POS=NOUN, Number[psor]=Plur|POS=DET|Person=3|Poss=Yes|PronType=Prs, POS=VERB|Tense=Pres|VerbForm=Part, Case=Nom|Number=Plur|POS=PRON|Person=3|PronType=Prs, Case=Gen|Definite=Def|Gender=Com|Number=Sing|POS=NOUN, Definite=Def|Degree=Sup|Number=Plur|POS=ADJ, Case=Acc|Number=Plur|POS=PRON|Person=3|PronType=Prs, POS=AUX|VerbForm=Inf|Voice=Act, Definite=Ind|Degree=Pos|Gender=Neut|Number=Sing|POS=ADJ, Definite=Ind|Degree=Cmp|Number=Sing|POS=ADJ, Degree=Cmp|POS=ADJ, POS=PRON|PartType=Inf, Definite=Ind|Degree=Pos|Number=Sing|POS=ADJ, Case=Nom|Gender=Com|POS=PRON|PronType=Ind, Number=Plur|POS=PRON|PronType=Ind, POS=INTJ, Gender=Com|Number=Sing|POS=DET|PronType=Dem, Case=Gen|Number=Plur|POS=DET|PronType=Ind, Mood=Ind|POS=VERB|Tense=Pres|VerbForm=Fin|Voice=Pass, Definite=Def|Gender=Neut|Number=Plur|POS=NOUN, Degree=Cmp|POS=ADV, Number=Plur|Number[psor]=Plur|POS=PRON|Person=1|Poss=Yes|PronType=Prs|Style=Form, Case=Acc|Gender=Com|Number=Sing|POS=PRON|Person=3|PronType=Prs, Number=Plur|Number[psor]=Sing|POS=DET|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes, Case=Gen|POS=PROPN, Gender=Neut|Number=Sing|POS=PRON|PronType=Ind, Number=Plur|POS=VERB|Tense=Past|VerbForm=Part, Gender=Neut|Number=Sing|Number[psor]=Sing|POS=DET|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes, Case=Acc|Gender=Com|Number=Sing|POS=PRON|Person=1|PronType=Prs, Definite=Def|Degree=Sup|POS=ADJ, Gender=Neut|Number=Sing|POS=DET|PronType=Ind, Case=Gen|Definite=Ind|Gender=Neut|Number=Sing|POS=NOUN, Gender=Neut|Number=Sing|POS=DET|PronType=Dem, Definite=Def|Number=Sing|POS=VERB|Tense=Past|VerbForm=Part, POS=PRON|PronType=Dem, Degree=Pos|Gender=Com|Number=Sing|POS=ADJ, Number=Plur|POS=NUM, POS=VERB|VerbForm=Inf|Voice=Pass, Definite=Def|Degree=Sup|Number=Sing|POS=ADJ, Number=Sing|POS=PRON|PronType=Int,Rel, Case=Nom|Gender=Com|Number=Sing|POS=PRON|Person=1|PronType=Prs, Gender=Neut|Number=Sing|Number[psor]=Sing|POS=DET|Person=1|Poss=Yes|PronType=Prs, Gender=Com|Number=Sing|Number[psor]=Sing|POS=DET|Person=1|Poss=Yes|PronType=Prs, POS=PRON, Definite=Ind|Number=Sing|POS=NOUN, Definite=Ind|Number=Sing|POS=NUM, Case=Gen|Definite=Ind|Gender=Com|Number=Sing|POS=NOUN, Foreign=Yes|POS=ADV, POS=NOUN, Case=Gen|Definite=Def|Gender=Neut|Number=Sing|POS=NOUN, Gender=Com|Number=Plur|POS=NOUN, Gender=Neut|Number=Sing|POS=PRON|PronType=Int,Rel, Case=Nom|Gender=Com|Number=Plur|POS=PRON|Person=1|PronType=Prs, Number[psor]=Plur|POS=DET|Person=1|Poss=Yes|PronType=Prs, Gender=Com|Number=Sing|POS=PRON|PronType=Ind, Case=Gen|Definite=Ind|Gender=Com|Number=Plur|POS=NOUN, Degree=Pos|Gender=Neut|Number=Sing|POS=ADJ, Degree=Sup|POS=ADJ, Degree=Pos|Number=Sing|POS=ADJ, Mood=Imp|POS=VERB, Case=Nom|Gender=Com|POS=PRON|Person=2|Polite=Form|PronType=Prs, Case=Acc|Gender=Com|POS=PRON|Person=2|Polite=Form|PronType=Prs, POS=X, Case=Gen|Definite=Def|Gender=Com|Number=Plur|POS=NOUN, Number=Plur|POS=PRON|PronType=Dem, Case=Acc|Gender=Com|Number=Plur|POS=PRON|Person=1|PronType=Prs, Number=Plur|POS=PRON|PronType=Int,Rel, Gender=Com|Number=Sing|Number[psor]=Sing|POS=DET|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes, Degree=Cmp|Number=Plur|POS=ADJ, Number=Plur|Number[psor]=Sing|POS=DET|Person=1|Poss=Yes|PronType=Prs, Gender=Com|Number=Sing|Number[psor]=Plur|POS=DET|Person=1|Poss=Yes|PronType=Prs|Style=Form, Case=Nom|Gender=Com|Number=Sing|POS=PRON|Person=2|PronType=Prs, Case=Acc|Gender=Com|Number=Sing|POS=PRON|Person=2|PronType=Prs, Gender=Com|POS=PRON|PronType=Int,Rel, Case=Gen|Degree=Pos|Number=Plur|POS=ADJ, Gender=Neut|Number=Sing|Number[psor]=Sing|POS=PRON|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes, POS=VERB|VerbForm=Ger, Gender=Com|Number=Sing|POS=PRON|PronType=Dem, Case=Gen|POS=PRON|PronType=Int,Rel, Mood=Ind|POS=VERB|Tense=Past|VerbForm=Fin|Voice=Pass, Abbr=Yes|POS=X, Case=Gen|Definite=Ind|Gender=Neut|Number=Plur|POS=NOUN, Gender=Com|Number=Sing|Number[psor]=Sing|POS=DET|Person=2|Poss=Yes|PronType=Prs, Definite=Ind|Number=Plur|POS=NOUN, Foreign=Yes|POS=X, Number=Plur|POS=PRON|PronType=Rcp, Case=Nom|Gender=Com|Number=Plur|POS=PRON|Person=2|PronType=Prs, Case=Gen|Degree=Cmp|POS=ADJ, Case=Gen|Definite=Def|Gender=Neut|Number=Plur|POS=NOUN, Case=Acc|Gender=Com|Number=Plur|POS=PRON|Person=2|PronType=Prs, Gender=Neut|Number=Sing|POS=PRON|PronType=Dem, Number=Plur|Number[psor]=Plur|POS=DET|Person=1|Poss=Yes|PronType=Prs|Style=Form, Gender=Neut|Number=Sing|Number[psor]=Plur|POS=DET|Person=1|Poss=Yes|PronType=Prs|Style=Form, Number=Plur|Number[psor]=Sing|POS=PRON|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes, Number[psor]=Sing|POS=PRON|Person=3|Poss=Yes|PronType=Prs, Case=Gen|Number=Plur|POS=PRON|PronType=Rcp, POS=DET|Person=2|Polite=Form|Poss=Yes|PronType=Prs, POS=SYM, POS=DET|PronType=Dem, Gender=Com|Number=Sing|POS=NUM, Number[psor]=Plur|POS=DET|Person=2|Poss=Yes|PronType=Prs, Case=Gen|Number=Plur|POS=VERB|Tense=Past|VerbForm=Part, Definite=Def|Degree=Abs|POS=ADJ, POS=VERB|Tense=Pres, Definite=Ind|Gender=Neut|Number=Sing|POS=NUM, Degree=Abs|POS=ADV, Case=Gen|Definite=Def|Degree=Pos|Number=Sing|POS=ADJ, Gender=Com|Number=Sing|POS=PRON|PronType=Int,Rel, POS=VERB|Tense=Past|VerbForm=Part, Definite=Ind|Degree=Sup|Number=Sing|POS=ADJ, Gender=Neut|Number=Sing|Number[psor]=Sing|POS=DET|Person=2|Poss=Yes|PronType=Prs, Gender=Com|Number=Sing|Number[psor]=Sing|POS=PRON|Person=1|Poss=Yes|PronType=Prs, Number=Plur|Number[psor]=Sing|POS=DET|Person=2|Poss=Yes|PronType=Prs, Number[psor]=Plur|POS=PRON|Person=3|Poss=Yes|PronType=Prs, Definite=Ind|POS=NOUN, Case=Gen|Gender=Com|Number=Sing|POS=DET|PronType=Ind, Definite=Ind|Gender=Com|Number=Sing|POS=NUM, Definite=Def|Number=Plur|POS=NOUN, Case=Gen|POS=NOUN, POS=AUX|Tense=Pres|VerbForm=Part, Number=Plur|POS=DET|PronType=Ind|Style=Arch, Case=Gen|Gender=Com|Number=Sing|POS=DET|PronType=Dem, POS=PRON|Person=2|Polite=Form|Poss=Yes|PronType=Prs, Gender=Com|Number=Sing|Number[psor]=Sing|POS=PRON|Person=3|Poss=Yes|PronType=Prs|Reflex=Yes, Degree=Sup|Number=Plur|POS=ADJ, Definite=Def|Gender=Com|Number=Sing|POS=VERB|Tense=Past|VerbForm=Part |
parser | ROOT, acl:relcl, advcl, advmod, advmod:lmod, amod, appos, aux, case, cc, ccomp, compound:prt, conj, cop, dep, det, expl, fixed, flat, iobj, list, mark, nmod, nmod:poss, nsubj, nummod, obj, obl, obl:lmod, obl:tmod, punct, xcomp |
ner | LOC, MISC, ORG, PER |
Accuracy
| Type | Score |
|---|---|
POS_ACC | 94.53 |
MORPH_ACC | 93.38 |
DEP_UAS | 81.01 |
DEP_LAS | 76.06 |
SENTS_P | 94.25 |
SENTS_R | 94.88 |
SENTS_F | 94.56 |
LEMMA_ACC | 94.27 |
ENTS_F | 72.56 |
ENTS_P | 74.40 |
ENTS_R | 70.81 |
TOK2VEC_LOSS | 17929810.36 |
MORPHOLOGIZER_LOSS | 1975672.57 |
PARSER_LOSS | 18907453.12 |
LEMMATIZER_LOSS | 1065818.42 |
NER_LOSS | 110246.07 |
Training
This model was trained using spaCy
References
Enevoldsen, K., Hansen, L., & Nielbo, K. L. (2021). DaCy: A Unified Framework for Danish NLP. https://ceur-ws.org/Vol-2989/short_paper24.pdf
- Task
- Token Classification
- Library
- spacy
- License
- apache-2.0
- Languages
- da
- Created
- Sep 16, 2026
- Updated
- Sep 23, 2026