Spanish 3B words Word2Vec Embeddings

<p>Ready to use gensim Word2Vec embedding models for the Spanish language. Models are created using a window of +/- 5 words, discarding those words with less than 5 instances and creating a vector of 400 dimensions for each word. The text used to create the embeddings has been recovered from news, Wikipedia, the Spanish BOE, web crawling and open literary sources.&nbsp; The used text has a total of 3.257.329.900 words and 18.852.481.207 characters.</p> <p>We support two types of models: Gensim full models (complete_model.zip) and KeyedVectors (keyed_vectors.zip). You can check the differences between them in the following URL: <a href="https://radimrehurek.com/gensim/models/keyedvectors.html">https://radimrehurek.com/gensim/models/keyedvectors.html</a></p> <p>To load the full model use: model = Word2Vec.load(&quot;complete.model&quot;)<br> To load the KeyedVectors use: word_vectors = KeyedVectors.load(&#39;complete.kv&#39;, mmap=&#39;r&#39;)</p> <p>More info about the models can be found in: <a href="https://github.com/aitoralmeida/spanish_word2vec">https://github.com/aitoralmeida/spanish_word2vec</a></p>