mirror of
https://github.com/explosion/spaCy.git
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8a86a35eab
Due to problems with the javascript conversion in the website quickstart, remove the `has_letters` setting to simplify generating `attrs` for the default `tok2vec`. Additionally reduce `PREFIX` as in the trained pipelines.
274 lines
5.9 KiB
YAML
274 lines
5.9 KiB
YAML
# Recommended settings and available resources for each language, if available.
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# Not all languages have recommended word vectors or transformers and for some,
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# the recommended transformer for efficiency and accuracy may be the same.
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__default__:
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word_vectors: null
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transformer:
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efficiency:
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name: bert-base-multilingual-uncased
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size_factor: 3
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accuracy:
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name: bert-base-multilingual-uncased
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size_factor: 3
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ar:
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word_vectors: null
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transformer:
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efficiency:
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name: asafaya/bert-base-arabic
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size_factor: 3
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accuracy:
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name: asafaya/bert-base-arabic
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size_factor: 3
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bg:
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word_vectors: null
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transformer:
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efficiency:
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name: iarfmoose/roberta-base-bulgarian
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size_factor: 3
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accuracy:
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name: iarfmoose/roberta-base-bulgarian
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size_factor: 3
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bn:
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word_vectors: null
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transformer:
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efficiency:
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name: sagorsarker/bangla-bert-base
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size_factor: 3
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accuracy:
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name: sagorsarker/bangla-bert-base
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size_factor: 3
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da:
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word_vectors: da_core_news_lg
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transformer:
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efficiency:
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name: Maltehb/danish-bert-botxo
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size_factor: 3
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accuracy:
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name: Maltehb/danish-bert-botxo
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size_factor: 3
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de:
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word_vectors: de_core_news_lg
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transformer:
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efficiency:
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name: bert-base-german-cased
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size_factor: 3
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accuracy:
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name: bert-base-german-cased
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size_factor: 3
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el:
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word_vectors: el_core_news_lg
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transformer:
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efficiency:
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name: nlpaueb/bert-base-greek-uncased-v1
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size_factor: 3
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accuracy:
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name: nlpaueb/bert-base-greek-uncased-v1
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size_factor: 3
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en:
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word_vectors: en_core_web_lg
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transformer:
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efficiency:
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name: roberta-base
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size_factor: 3
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accuracy:
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name: roberta-base
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size_factor: 3
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es:
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word_vectors: es_core_news_lg
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transformer:
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efficiency:
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name: dccuchile/bert-base-spanish-wwm-cased
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size_factor: 3
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accuracy:
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name: dccuchile/bert-base-spanish-wwm-cased
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size_factor: 3
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eu:
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word_vectors: null
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transformer:
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efficiency:
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name: mrm8488/RoBasquERTa
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size_factor: 3
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accuracy:
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name: mrm8488/RoBasquERTa
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size_factor: 3
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fi:
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word_vectors: null
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transformer:
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efficiency:
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name: TurkuNLP/bert-base-finnish-cased-v1
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size_factor: 3
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accuracy:
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name: TurkuNLP/bert-base-finnish-cased-v1
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size_factor: 3
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fr:
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word_vectors: fr_core_news_lg
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transformer:
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efficiency:
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name: camembert-base
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size_factor: 3
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accuracy:
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name: camembert-base
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size_factor: 3
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hi:
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word_vectors: null
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transformer:
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efficiency:
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name: ai4bharat/indic-bert
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size_factor: 3
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accuracy:
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name: ai4bharat/indic-bert
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size_factor: 3
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id:
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word_vectors: null
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transformer:
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efficiency:
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name: indolem/indobert-base-uncased
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size_factor: 3
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accuracy:
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name: indolem/indobert-base-uncased
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size_factor: 3
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it:
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word_vectors: it_core_news_lg
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transformer: null
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ja:
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word_vectors: ja_core_news_lg
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transformer: null
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lt:
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word_vectors: lt_core_news_lg
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transformer: null
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mk:
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word_vectors: null
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transformer:
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efficiency:
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name: anon-submission-mk/bert-base-macedonian-cased
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size_factor: 3
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accuracy:
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name: anon-submission-mk/bert-base-macedonian-cased
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size_factor: 3
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nb:
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word_vectors: nb_core_news_lg
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transformer:
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efficiency:
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name: NbAiLab/nb-bert-base
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size_factor: 3
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accuracy:
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name: NbAiLab/nb-bert-base
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size_factor: 3
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nl:
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word_vectors: nl_core_news_lg
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transformer:
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efficiency:
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name: GroNLP/bert-base-dutch-cased
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size_factor: 3
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accuracy:
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name: GroNLP/bert-base-dutch-cased
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size_factor: 3
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pl:
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word_vectors: pl_core_news_lg
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transformer:
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efficiency:
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name: dkleczek/bert-base-polish-cased-v1
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size_factor: 3
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accuracy:
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name: dkleczek/bert-base-polish-cased-v1
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size_factor: 3
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pt:
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word_vectors: pt_core_news_lg
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transformer:
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efficiency:
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name: neuralmind/bert-base-portuguese-cased
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size_factor: 3
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accuracy:
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name: neuralmind/bert-base-portuguese-cased
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size_factor: 3
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ro:
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word_vectors: ro_core_news_lg
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transformer:
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efficiency:
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name: dumitrescustefan/bert-base-romanian-cased-v1
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size_factor: 3
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accuracy:
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name: dumitrescustefan/bert-base-romanian-cased-v1
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size_factor: 3
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si:
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word_vectors: null
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transformer:
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efficiency:
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name: setu4993/LaBSE
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size_factor: 3
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accuracy:
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name: setu4993/LaBSE
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size_factor: 3
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sv:
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word_vectors: null
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transformer:
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efficiency:
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name: KB/bert-base-swedish-cased
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size_factor: 3
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accuracy:
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name: KB/bert-base-swedish-cased
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size_factor: 3
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ta:
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word_vectors: null
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transformer:
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efficiency:
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name: ai4bharat/indic-bert
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size_factor: 3
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accuracy:
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name: ai4bharat/indic-bert
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size_factor: 3
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te:
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word_vectors: null
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transformer:
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efficiency:
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name: kuppuluri/telugu_bertu
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size_factor: 3
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accuracy:
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name: kuppuluri/telugu_bertu
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size_factor: 3
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th:
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word_vectors: null
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transformer:
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efficiency:
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name: monsoon-nlp/bert-base-thai
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size_factor: 3
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accuracy:
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name: monsoon-nlp/bert-base-thai
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size_factor: 3
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tr:
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word_vectors: null
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transformer:
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efficiency:
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name: dbmdz/bert-base-turkish-cased
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size_factor: 3
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accuracy:
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name: dbmdz/bert-base-turkish-cased
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size_factor: 3
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uk:
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word_vectors: null
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transformer:
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efficiency:
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name: youscan/ukr-roberta-base
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size_factor: 3
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accuracy:
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name: youscan/ukr-roberta-base
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size_factor: 3
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ur:
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word_vectors: null
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transformer:
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efficiency:
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name: urduhack/roberta-urdu-small
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size_factor: 3
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accuracy:
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name: urduhack/roberta-urdu-small
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size_factor: 3
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zh:
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word_vectors: zh_core_web_lg
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transformer:
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efficiency:
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name: bert-base-chinese
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size_factor: 3
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accuracy:
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name: bert-base-chinese
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size_factor: 3
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