mirror of https://github.com/explosion/spaCy.git
34 lines
975 B
Plaintext
34 lines
975 B
Plaintext
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//- 💫 DOCS > USAGE > TRAINING
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include ../_includes/_mixins
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p
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| This guide describes how to train new statistical models for spaCy's
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| part-of-speech tagger, named entity recognizer and dependency parser.
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| Once the model is trained, you can then
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| #[+a("/usage/models#saving-loading") save and load] it.
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+section("basics")
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+h(2, "basics") Training basics
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include _training/_basics
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+section("ner")
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+h(2, "ner") Training the named entity recognizer
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include _training/_ner
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+section("tagger-parser")
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+h(2, "tagger-parser") Training the tagger and parser
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include _training/_tagger-parser
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+section("similarity")
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+h(2, "similarity") Training a similarity model
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include _training/_similarity
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+section("textcat")
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+h(2, "textcat") Training a text classification model
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include _training/_textcat
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+section("saving-loading")
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+h(2, "saving-loading") Saving and loading models
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include _training/_saving-loading
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