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Use core lg models as vectors models in quickstart

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Adriane Boyd 2020-10-16 08:17:53 +02:00
parent ba1e004049
commit 2fbd43c603
1 changed files with 9 additions and 9 deletions
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18
spacy/cli/templates/quickstart_training_recommendations.yml
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@ -2,7 +2,7 @@
# Not all languages have recommended word vectors or transformers and for some, # Not all languages have recommended word vectors or transformers and for some,
# the recommended transformer for efficiency and accuracy may be the same. # the recommended transformer for efficiency and accuracy may be the same.
en: en:
word_vectors: en_vectors_web_lg word_vectors: en_core_web_lg
transformer: transformer:
efficiency: efficiency:
name: roberta-base name: roberta-base
@ -11,7 +11,7 @@ en:
name: roberta-base name: roberta-base
size_factor: 3 size_factor: 3
de: de:
word_vectors: null word_vectors: de_core_news_lg
transformer: transformer:
efficiency: efficiency:
name: bert-base-german-cased name: bert-base-german-cased
@ -20,7 +20,7 @@ de:
name: bert-base-german-cased name: bert-base-german-cased
size_factor: 3 size_factor: 3
fr: fr:
word_vectors: null word_vectors: fr_core_news_lg
transformer: transformer:
efficiency: efficiency:
name: camembert-base name: camembert-base
@ -29,7 +29,7 @@ fr:
name: camembert-base name: camembert-base
size_factor: 3 size_factor: 3
es: es:
word_vectors: null word_vectors: es_core_news_lg
transformer: transformer:
efficiency: efficiency:
name: dccuchile/bert-base-spanish-wwm-cased name: dccuchile/bert-base-spanish-wwm-cased
@ -56,7 +56,7 @@ fi:
name: TurkuNLP/bert-base-finnish-cased-v1 name: TurkuNLP/bert-base-finnish-cased-v1
size_factor: 3 size_factor: 3
el: el:
word_vectors: null word_vectors: el_core_news_lg
transformer: transformer:
efficiency: efficiency:
name: nlpaueb/bert-base-greek-uncased-v1 name: nlpaueb/bert-base-greek-uncased-v1
@ -74,7 +74,7 @@ tr:
name: dbmdz/bert-base-turkish-cased name: dbmdz/bert-base-turkish-cased
size_factor: 3 size_factor: 3
zh: zh:
word_vectors: null word_vectors: zh_core_web_lg
transformer: transformer:
efficiency: efficiency:
name: bert-base-chinese name: bert-base-chinese
@ -93,7 +93,7 @@ ar:
name: asafaya/bert-base-arabic name: asafaya/bert-base-arabic
size_factor: 3 size_factor: 3
pl: pl:
word_vectors: null word_vectors: pl_core_news_lg
transformer: transformer:
efficiency: efficiency:
name: dkleczek/bert-base-polish-cased-v1 name: dkleczek/bert-base-polish-cased-v1
@ -102,7 +102,7 @@ pl:
name: dkleczek/bert-base-polish-cased-v1 name: dkleczek/bert-base-polish-cased-v1
size_factor: 3 size_factor: 3
nl: nl:
word_vectors: null word_vectors: nl_core_news_lg
transformer: transformer:
efficiency: efficiency:
name: pdelobelle/robbert-v2-dutch-base name: pdelobelle/robbert-v2-dutch-base
@ -111,7 +111,7 @@ nl:
name: pdelobelle/robbert-v2-dutch-base name: pdelobelle/robbert-v2-dutch-base
size_factor: 3 size_factor: 3
pt: pt:
word_vectors: null word_vectors: pt_core_news_lg
transformer: transformer:
efficiency: efficiency:
name: neuralmind/bert-base-portuguese-cased name: neuralmind/bert-base-portuguese-cased