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Remove has_letters in config template (#11465)

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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.
This commit is contained in:
Adriane Boyd 2022-09-09 15:10:04 +02:00 committed by GitHub
parent 0c72c6bb2c
commit 8a86a35eab
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2 changed files with 1 additions and 7 deletions
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7
spacy/cli/templates/quickstart_training.jinja
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@ -271,13 +271,8 @@ factory = "tok2vec"
[components.tok2vec.model.embed] [components.tok2vec.model.embed]
@architectures = "spacy.MultiHashEmbed.v2" @architectures = "spacy.MultiHashEmbed.v2"
width = ${components.tok2vec.model.encode.width} width = ${components.tok2vec.model.encode.width}
{% if has_letters -%}
attrs = ["NORM", "PREFIX", "SUFFIX", "SHAPE"] attrs = ["NORM", "PREFIX", "SUFFIX", "SHAPE"]
rows = [5000, 2500, 2500, 2500] rows = [5000, 1000, 2500, 2500]
{% else -%}
attrs = ["ORTH", "SHAPE"]
rows = [5000, 2500]
{% endif -%}
include_static_vectors = {{ "true" if optimize == "accuracy" else "false" }} include_static_vectors = {{ "true" if optimize == "accuracy" else "false" }}
[components.tok2vec.model.encode] [components.tok2vec.model.encode]

1
spacy/cli/templates/quickstart_training_recommendations.yml
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@ -271,4 +271,3 @@ zh:
accuracy: accuracy:
name: bert-base-chinese name: bert-base-chinese
size_factor: 3 size_factor: 3
has_letters: false