readme: ---
  tags:
  - spacy
  - token-classification
  - text-classification
  language:
  - ca
  license: mit
  model-index:
  - name: ca_bsc_demo_md
    results:
    - task:
        name: TAG
        type: token-classification
      metrics:
      - name: TAG (XPOS) Accuracy
        type: accuracy
        value: 0.9851842909
    - task:
        name: POS
        type: token-classification
      metrics:
      - name: POS (UPOS) Accuracy
        type: accuracy
        value: 0.9854602529
    - task:
        name: MORPH
        type: token-classification
      metrics:
      - name: Morph (UFeats) Accuracy
        type: accuracy
        value: 0.9801909328
    - task:
        name: LEMMA
        type: token-classification
      metrics:
      - name: Lemma Accuracy
        type: accuracy
        value: 0.9820855892
    - task:
        name: UNLABELED_DEPENDENCIES
        type: token-classification
      metrics:
      - name: Unlabeled Attachment Score (UAS)
        type: f_score
        value: 0.9121436195
    - task:
        name: LABELED_DEPENDENCIES
        type: token-classification
      metrics:
      - name: Labeled Attachment Score (LAS)
        type: f_score
        value: 0.8784289811
    - task:
        name: SENTS
        type: token-classification
      metrics:
      - name: Sentences F-Score
        type: f_score
        value: 0.9897630886
  
  
  widget:
  
  - text: "La biologia molecular busca comprendre les interaccions entre els diversos sistemes cel·lulars, incloent-hi les relacions entre ADN, ARN i la síntesi de proteïnes, així com aprendre com estan regulades aquestes interaccions." 
  
  - text: "El Futbol Club Barcelona, conegut popularment com a Barça, és una entitat poliesportiva amb seu a Barcelona.  "
  
  ---
  
  ## Table of Contents
  <details>
  <summary>Click to expand</summary>
  
  - [Model description](#model-description)
     - [Install the model](#install-model)
     - [Label scheme](#label-scheme)
     - [Evaluation results](#evaluation-results)
  - [Additional information](#additional-information)
    - [Author](#author)
    - [Contact information](#contact-information)
    - [Copyright](#copyright)
    - [Licensing information](#licensing-information)
    - [Funding](#funding)
    - [Citing information](#citing-information)
    - [Disclaimer](#disclaimer)
    
  </details>
  
  
  ## Model description
  
  Catalan pipeline pipeline by BSC. Components: floret embeddings, morphologizer, parser, attribute_ruler, lemmatizer, text classification.
  | Feature | Description |
  | --- | --- |
  | **Name** | `ca_bsc_demo_md` |
  | **Version** | `3.4.2` |
  | **spaCy** | `3.4.1` |
  | **Default Pipeline** | `tok2vec`, `tagger`, `morphologizer`, `lemmatizer`, `parser`, `textcat` |
  | **Components** | `tok2vec`, `tagger`, `morphologizer`, `lemmatizer`, `parser`, `textcat` |
  | **Vectors** | 0 keys, 50000 unique vectors (300 dimensions) |
  | **Sources** |[Catalan Floret vectors] (https://doi.org/10.5281/zenodo.7330330) <br /> Ancora_UD_10 <br />[WikiCAT_ca] (https://huggingface.co/datasets/projecte-aina/WikiCAT_ca) |
  | **License** | `MIT` |
  | **Author** | [AINA project](https://huggingface.co/projecte-aina) |
  
  
  ### Install the model
  
  pip install https://huggingface.co/projecte-aina/ca_bsc_demo_md/resolve/main/ca_bsc_demo_md-any-py3-none-any.whl
  
  More extensive demo at https://spacydemo.aina.bsc.es
  
  
  ### Label scheme
  
  <details>
  
  <summary>View label scheme (342 labels for 5 components)</summary>
  
  | Component | Labels |
  | --- | --- |
  | **`tagger`** | `ADJ`, `ADP`, `ADV`, `AUX`, `CCONJ`, `DET`, `INTJ`, `NOUN`, `NUM`, `PART`, `PRON`, `PROPN`, `PUNCT`, `SCONJ`, `SYM`, `VERB`, `X` |
  | **`morphologizer`** | `Definite=Def\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Art`, `POS=PROPN`, `POS=PUNCT\|PunctSide=Ini\|PunctType=Brck`, `POS=PUNCT\|PunctSide=Fin\|PunctType=Brck`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Definite=Def\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Art`, `Gender=Fem\|Number=Sing\|POS=NOUN`, `POS=ADP`, `NumType=Card\|Number=Plur\|POS=NUM`, `Gender=Masc\|Number=Plur\|POS=NOUN`, `Number=Sing\|POS=ADJ`, `POS=CCONJ`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `NumForm=Digit\|NumType=Card\|POS=NUM`, `NumForm=Digit\|POS=NOUN`, `Gender=Masc\|Number=Plur\|POS=ADJ`, `POS=PUNCT\|PunctType=Comm`, `POS=AUX\|VerbForm=Inf`, `Case=Acc,Dat\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|Reflex=Yes`, `Definite=Def\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Art`, `POS=PRON\|PronType=Rel`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Imp\|VerbForm=Fin`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Art`, `Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Definite=Def\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Art`, `Gender=Fem\|Number=Plur\|POS=NOUN`, `Gender=Fem\|Number=Plur\|POS=ADJ`, `POS=VERB\|VerbForm=Inf`, `Case=Acc,Dat\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Number=Plur\|POS=ADJ`, `POS=PUNCT\|PunctType=Peri`, `Number=Sing\|POS=PRON\|PronType=Rel`, `Gender=Masc\|Number=Sing\|POS=NOUN`, `Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|VerbForm=Fin`, `