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Load vectors in Language.from_config

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Matthew Honnibal 2020-07-28 21:56:28 +02:00
parent df95e2af64
commit 30dd96c540
1 changed files with 2 additions and 0 deletions
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spacy/language.py
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@ -1408,6 +1408,8 @@ class Language:
nlp = cls( nlp = cls(
create_tokenizer=create_tokenizer, create_lemmatizer=create_lemmatizer, create_tokenizer=create_tokenizer, create_lemmatizer=create_lemmatizer,
) )
if config["training"]["vectors"] is not None:
util.load_vectors_into_model(nlp, config["training"]["vectors"])
pipeline = config.get("components", {}) pipeline = config.get("components", {})
for pipe_name in config["nlp"]["pipeline"]: for pipe_name in config["nlp"]["pipeline"]:
if pipe_name not in pipeline: if pipe_name not in pipeline: