readme: ---
  tags:
  - spacy
  - token-classification
  language:
  - nb
  model-index:
  - name: nb_nocy_trf
    results:
    - tasks:
        name: NER
        type: token-classification
        metrics:
        - name: Precision
          type: precision
          value: 0.9021803182
        - name: Recall
          type: recall
          value: 0.9069905213
        - name: F Score
          type: f_score
          value: 0.9045790251
    - tasks:
        name: POS
        type: token-classification
        metrics:
        - name: Accuracy
          type: accuracy
          value: 0.987973053
    - tasks:
        name: SENTER
        type: token-classification
        metrics:
        - name: Precision
          type: precision
          value: 0.9679276316
        - name: Recall
          type: recall
          value: 0.9767634855
        - name: F Score
          type: f_score
          value: 0.9723254853
    - tasks:
        name: UNLABELED_DEPENDENCIES
        type: token-classification
        metrics:
        - name: Accuracy
          type: accuracy
          value: 0.9433838463
    - tasks:
        name: LABELED_DEPENDENCIES
        type: token-classification
        metrics:
        - name: Accuracy
          type: accuracy
          value: 0.9433838463
  ---
  
  
  # NoCy transformer model
  
  NoCy is a Norwegian transformer model for SpaCy, based on `ltgoslo/norbert` and trained on the NorNE named entity corpus (`NbAiLab/norne`).
  
  The model is made by and for SpaCy, based on the DaCy blueprint (https://github.com/centre-for-humanities-computing/DaCy). Code for the project can be found on github: https://github.com/radbrt/noCy.
  
  The model performance should be quite similar to `NbAiLab/nb-bert-base`.
  
  
  | Feature | Description |
  | --- | --- |
  | **Name** | `nb_nocy_trf` |
  | **Version** | `0.0.1` |
  | **spaCy** | `>=3.1.1,<3.2.0` |
  | **Default Pipeline** | `transformer`, `tagger`, `morphologizer`, `parser`, `ner` |
  | **Components** | `transformer`, `tagger`, `morphologizer`, `parser`, `ner` |
  | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
  | **Sources** | ltgoslo/norbert |
  | **License** | cc-by 4.0 |
  | **Author** | Henning Holgersen |
  
  ### Label Scheme
  
  <details>
  
  <summary>View label scheme (265 labels for 4 components)</summary>
  
  | Component | Labels |
  | --- | --- |
  | **`tagger`** | `ADJ`, `ADP`, `ADV`, `AUX`, `CCONJ`, `DET`, `INTJ`, `NOUN`, `NUM`, `PART`, `PRON`, `PROPN`, `PUNCT`, `SCONJ`, `SYM`, `VERB`, `X` |
  | **`morphologizer`** | `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=NOUN`, `POS=CCONJ`, `Definite=Ind\|Gender=Masc\|Number=Sing\|POS=NOUN`, `POS=SCONJ`, `Definite=Def\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Definite=Ind\|Gender=Neut\|Number=Plur\|POS=NOUN`, `POS=PUNCT`, `Mood=Ind\|POS=VERB\|Tense=Past\|VerbForm=Fin`, `POS=ADP`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Definite=Def\|Degree=Pos\|Number=Sing\|POS=ADJ`, `POS=PROPN`, `POS=X`, `Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin`, `Definite=Def\|Gender=Neut\|Number=Sing\|POS=NOUN`, `POS=PRON\|PronType=Rel`, `Mood=Ind\|POS=AUX\|Tense=Pres\|VerbForm=Fin`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=ADJ\|VerbForm=Part`, `Definite=Ind\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Definite=Ind\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Number=Plur\|POS=ADJ\|VerbForm=Part`, `Definite=Ind\|Gender=Fem\|Number=Plur\|POS=NOUN`, `POS=ADV`, `Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Definite=Ind\|Number=Sing\|POS=ADJ\|VerbForm=Part`, `POS=VERB\|VerbForm=Part`, `Definite=Ind\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Definite=Ind\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Degree=Pos\|Number=Plur\|POS=ADJ`, `NumType=Card\|Number=Plur\|POS=NUM`, `Definite=Def\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Acc\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Case=Gen\|Definite=Ind\|Gender=Neut\|Number=Sing\|POS=NOUN`, `POS=PART`, `POS=VERB\|VerbForm=Inf`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Mood=Ind\|POS=AUX\|Tense=Past\|VerbForm=Fin`, `Gender=Fem\|POS=PROPN`, `POS=NOUN`, `Gender=Masc\|POS=PROPN`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Art`, `Case=Gen\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Abbr=Yes\|POS=PROPN`, `POS=PART\|Polarity=Neg`, `Number=Plur\|POS=PRON\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Definite=Ind\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Case=Gen\|POS=PROPN`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Gender=Masc\|Number=Sing\|POS=PRON\|Poss=Yes\|PronType=Prs`, `Definite=Def\|Degree=Sup\|POS=ADJ`, `Case=Gen\|Gender=Fem\|POS=PROPN`, `Number=Plur\|POS=DET\|PronType=Dem`, `Case=Gen\|Definite=Def\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Definite=Ind\|Degree=Sup\|POS=ADJ`, `Definite=Def\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Gender=Neut\|POS=PROPN`, `Number=Plur\|POS=DET\|PronType=Int`, `Definite=Def\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Definite=Def\|POS=DET\|PronType=Dem`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Art`, `Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin\|Voice=Pass`, `Abbr=Yes\|Case=Gen\|POS=PROPN`, `Animacy=Hum\|Case=Nom\|Gender=Masc\|N