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* Integrate Python kernel via Binder * Add live model test for languages with examples * Update docs and code examples * Adjust margin (if not bootstrapped) * Add binder version to global config * Update terminal and executable code mixins * Pass attributes through infobox and section * Hide v-cloak * Fix example * Take out model comparison for now * Add meta text for compat * Remove chart.js dependency * Tidy up and simplify JS and port big components over to Vue * Remove chartjs example * Add Twitter icon * Add purple stylesheet option * Add utility for hand cursor (special cases only) * Add transition classes * Add small option for section * Add thumb object for small round thumbnail images * Allow unset code block language via "none" value (workaround to still allow unset language to default to DEFAULT_SYNTAX) * Pass through attributes * Add syntax highlighting definitions for Julia, R and Docker * Add website icon * Remove user survey from navigation * Don't hide GitHub icon on small screens * Make top navigation scrollable on small screens * Remove old resources page and references to it * Add Universe * Add helper functions for better page URL and title * Update site description * Increment versions * Update preview images * Update mentions of resources * Fix image * Fix social images * Fix problem with cover sizing and floats * Add divider and move badges into heading * Add docstrings * Reference converting section * Add section on converting word vectors * Move converting section to custom section and fix formatting * Remove old fastText example * Move extensions content to own section Keep weird ID to not break permalinks for now (we don't want to rewrite URLs if not absolutely necessary) * Use better component example and add factories section * Add note on larger model * Use better example for non-vector * Remove similarity in context section Only works via small models with tensors so has always been kind of confusing * Add note on init-model command * Fix lightning tour examples and make excutable if possible * Add spacy train CLI section to train * Fix formatting and add video * Fix formatting * Fix textcat example description (resolves #2246) * Add dummy file to try resolve conflict * Delete dummy file * Tidy up [ci skip] * Ensure sufficient height of loading container * Add loading animation to universe * Update Thebelab build and use better startup message * Fix asset versioning * Fix typo [ci skip] * Add note on project idea label
24 lines
868 B
Plaintext
24 lines
868 B
Plaintext
//- 💫 DOCS > USAGE > WORD VECTORS & SIMILARITIES
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include ../_includes/_mixins
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+section("basics")
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+aside("Training word vectors")
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| Dense, real valued vectors representing distributional similarity
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| information are now a cornerstone of practical NLP. The most common way
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| to train these vectors is the #[+a("https://en.wikipedia.org/wiki/Word2vec") word2vec]
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| family of algorithms. If you need to train a word2vec model, we recommend
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| the implementation in the Python library
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| #[+a("https://radimrehurek.com/gensim/") Gensim].
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include _spacy-101/_similarity
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include _spacy-101/_word-vectors
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+section("custom")
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+h(2, "custom") Customising word vectors
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include _vectors-similarity/_custom
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+section("gpu")
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+h(2, "gpu") Storing vectors on a GPU
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include _vectors-similarity/_gpu
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