spaCy/spacy/cli/templates/quickstart_training_recommendations.yml

# Recommended settings and available resources for each language, if available.
# Not all languages have recommended word vectors or transformers and for some,
# the recommended transformer for efficiency and accuracy may be the same.
en:
  word_vectors: en_core_web_lg
  transformer:
    efficiency:
      name: roberta-base
      size_factor: 3
    accuracy:
      name: roberta-base
      size_factor: 3
de:
  word_vectors: de_core_news_lg
  transformer:
    efficiency:
      name: bert-base-german-cased
      size_factor: 3
    accuracy:
      name: bert-base-german-cased
      size_factor: 3
fr:
  word_vectors: fr_core_news_lg
  transformer:
    efficiency:
      name: camembert-base
      size_factor: 3
    accuracy:
      name: camembert-base
      size_factor: 3
es:
  word_vectors: es_core_news_lg
  transformer:
    efficiency:
      name: dccuchile/bert-base-spanish-wwm-cased
      size_factor: 3
    accuracy:
      name: dccuchile/bert-base-spanish-wwm-cased
      size_factor: 3
sv:
  word_vectors: null
  transformer:
    efficiency:
      name: KB/bert-base-swedish-cased
      size_factor: 3
    accuracy:
      name: KB/bert-base-swedish-cased
      size_factor: 3
fi:
  word_vectors: null
  transformer:
    efficiency:
      name: TurkuNLP/bert-base-finnish-cased-v1
      size_factor: 3
    accuracy:
      name: TurkuNLP/bert-base-finnish-cased-v1
      size_factor: 3
el:
  word_vectors: el_core_news_lg
  transformer:
    efficiency:
      name: nlpaueb/bert-base-greek-uncased-v1
      size_factor: 3
    accuracy:
      name: nlpaueb/bert-base-greek-uncased-v1
      size_factor: 3
tr:
  word_vectors: null
  transformer:
    efficiency:
      name: dbmdz/bert-base-turkish-cased
      size_factor: 3
    accuracy:
      name: dbmdz/bert-base-turkish-cased
      size_factor: 3
zh:
  word_vectors: zh_core_web_lg
  transformer:
    efficiency:
      name: bert-base-chinese
      size_factor: 3
    accuracy:
      name: bert-base-chinese
      size_factor: 3
  has_letters: false
ar:
  word_vectors: null
  transformer:
    efficiency:
      name: asafaya/bert-base-arabic
      size_factor: 3
    accuracy:
      name: asafaya/bert-base-arabic
      size_factor: 3
pl:
  word_vectors: pl_core_news_lg
  transformer:
    efficiency:
      name: dkleczek/bert-base-polish-cased-v1
      size_factor: 3
    accuracy:
      name: dkleczek/bert-base-polish-cased-v1
      size_factor: 3
nl:
  word_vectors: nl_core_news_lg
  transformer:
    efficiency:
      name: pdelobelle/robbert-v2-dutch-base
      size_factor: 3
    accuracy:
      name: pdelobelle/robbert-v2-dutch-base
      size_factor: 3
pt:
  word_vectors: pt_core_news_lg
  transformer:
    efficiency:
      name: neuralmind/bert-base-portuguese-cased
      size_factor: 3
    accuracy:
      name: neuralmind/bert-base-portuguese-cased
      size_factor: 3