How to download BuiltIn Gensim Models and Datasets
In this recipe, we will learn how to download built-in models and datasets available in gensim in a step-by-step manner.
Recipe Objective: How to download Built-In Gensim Models and Datasets?
Gensim includes several built-in datasets and word embedding models that can be used immediately.
The downloader class from the gensim package can download a built-in model or dataset. The load method on the downloader class may then be used to download the specified package. We will use the "glove-wiki-gigaword-100" word embedding model, which is 100 dimensional and based on Wikipedia content. We will try to find words similar to "tiger" using our word embedding model. Take a look at the code below:
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#importing required library
import gensim.downloader as api
#downloading the dataset
w2v_embedding = api.load("glove-wiki-gigaword-100")
#finding similar words
w2v_embedding.most_similar('tiger')
Output:
[('tigers', 0.6670565009117126),
('leopard', 0.6260085105895996),
('elephant', 0.6157839298248291),
('woods', 0.6030755043029785),
('crocodile', 0.5780433416366577),
('dragon', 0.5769645571708679),
('lion', 0.5733929872512817),
('turtle', 0.5635945200920105),
('rebel', 0.5602356791496277),
('elephants', 0.5577720403671265)]
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