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README.md
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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 |
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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** |
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| **License** | `mit` |
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| **Author** | [
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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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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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To install this model:
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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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