The `gensim.models.doc2vec.Doc2Vec.load` function is a method in the Gensim library for Python that loads a pre-trained Doc2Vec model from a file. Doc2Vec is an algorithm for generating numerical representations of documents, allowing similarity calculations and clustering. This function enables easy and efficient loading of pre-trained models, allowing users to access the already learned document embeddings without having to retrain the model from scratch. The loaded model can be further utilized for various natural language processing tasks, such as document similarity, document classification, or information retrieval.
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