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@@ -58,7 +58,15 @@ model-index:
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  - name: Sentences F-Score
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  type: f_score
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  value: 0.9595898673
 
 
 
 
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  ---
 
 
 
 
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  Spanish light weight pipeline by BSC. Components: floret static vecors, morphologizer, parser, attribute_ruler, lemmatizer, text classification.
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  | Feature | Description |
@@ -69,9 +77,11 @@ Spanish light weight pipeline by BSC. Components: floret static vecors, morpholo
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  | **Default Pipeline** | `tok2vec`, `tagger`, `morphologizer`, `lemmatizer`, `parser`, `textcat` |
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  | **Components** | `tok2vec`, `tagger`, `morphologizer`, `lemmatizer`, `parser`, `textcat` |
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  | **Vectors** | -1 keys, 50000 unique vectors (300 dimensions) |
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- | **Sources** | n/a |
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  | **License** | `mit` |
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- | **Author** | [ext Mining Unit (TeMU) at the Barcelona Supercomputing Center (bsc-temu@bsc.es)](https://huggingface.co/PlanTL-GOB-ES/es_bsc_demo_md) |
 
 
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  ### Label Scheme
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  - name: Sentences F-Score
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  type: f_score
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  value: 0.9595898673
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+
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+ widget:
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+ - text: "El Fútbol Club Barcelona, conocido popularmente como Barça, es una entidad polideportiva con sede en Barcelona, España."
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+
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  ---
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+ To install this model:
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+
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+ pip install https://huggingface.co/PlanTL-GOB-ES/es_bsc_demo_md/resolve/main/es_bsc_demo_md-any-py3-none-any.whl
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  Spanish light weight pipeline by BSC. Components: floret static vecors, morphologizer, parser, attribute_ruler, lemmatizer, text classification.
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  | Feature | Description |
 
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  | **Default Pipeline** | `tok2vec`, `tagger`, `morphologizer`, `lemmatizer`, `parser`, `textcat` |
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  | **Components** | `tok2vec`, `tagger`, `morphologizer`, `lemmatizer`, `parser`, `textcat` |
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  | **Vectors** | -1 keys, 50000 unique vectors (300 dimensions) |
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+ | **Sources** | [UD Spanish AnCora v2.10](https://github.com/UniversalDependencies/UD_Spanish-AnCora) (Martínez Alonso, Héctor; Zeman, Daniel)<br /> [Spanish floret embeddings from BNE corpus] (https://zenodo.org/record/7314098) <br /> |
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  | **License** | `mit` |
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+ | **Author** | [Text Mining Unit (TeMU) at the Barcelona Supercomputing Center (bsc-temu@bsc.es)](https://huggingface.co/PlanTL-GOB-ES/es_bsc_demo_md) |
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+ | **Copyright** | Copyright by the Spanish State Secretariat for Digitalization and Artificial Intelligence (SEDIA) (2022) |
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+ | **Funding** | This work was funded by the Spanish State Secretariat for Digitalization and Artificial Intelligence (SEDIA) within the framework of the Plan-TL |
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  ### Label Scheme
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