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da_dacy_medium_trf_1.0.0
chcaa/da_dacy_medium_trf_1.0.0
da_dacy_medium_trf_1.0.0 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
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At a glance
- Task
- Token Classification
- Library
- spacy
- License
- apache-2.0
- Access
- Public
- Created
- Sep 14, 2026
- Updated
- Sep 23, 2026
- SHA
- 1e54caa5
Base models
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 Medium
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 medium Dacy pipeline, trained for Danish linguistic annotation and downstream NLP tasks. 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_medium_trf |
| Version | 1.0.0 |
| spaCy | >=3.8.14,<3.9.0 |
| Default Pipeline | transformer, tagger, morphologizer, trainable_lemmatizer, parser, ner |
| Components | transformer, tagger, morphologizer, trainable_lemmatizer, parser, 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)<br>vesteinn/ScandiBERT-no-faroese (Vésteinn Snæbjarnarson) |
| License | Apache-2.0 |
| Author | Johana Mayerová, Mikkel Krøjer Svendsen, Kenneth Enevoldsen |
Label Scheme
<details> <summary>View label scheme (218 labels for 4 components)</summary>| Component | Labels |
|---|---|
tagger | ADJ, ADP, ADV, AUX, CCONJ, DET, INTJ, NOUN, NUM, PART, PRON, PROPN, PUNCT, Polarity=Neg, SCONJ, SYM, VERB, X |
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 |
|---|---|
TAG_ACC | 98.40 |
POS_ACC | 98.48 |
MORPH_ACC | 98.28 |
LEMMA_ACC | 96.62 |
DEP_UAS | 89.58 |
DEP_LAS | 86.64 |
SENTS_P | 97.14 |
SENTS_R | 98.22 |
SENTS_F | 97.67 |
ENTS_F | 86.03 |
ENTS_P | 83.86 |
ENTS_R | 88.32 |
TRANSFORMER_LOSS | 315704.76 |
TAGGER_LOSS | 6461.99 |
MORPHOLOGIZER_LOSS | 7153.27 |
TRAINABLE_LEMMATIZER_LOSS | 4101.19 |
PARSER_LOSS | 564247.66 |
NER_LOSS | 1341.09 |
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 14, 2026
- Updated
- Sep 23, 2026