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fse/word2vec-google-news-300
word2vec-google-news-300 is a machine learning model from fse. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Pre-trained vectors trained on a part of the Google News dataset (about 100 billion words). The model contains 300-dimensional vectors for 3 million words and phrases. The phrases were obtained using a simple data-dri…
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Updated Dec 2, 2021
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From the Hugging Face model README
Pre-trained vectors trained on a part of the Google News dataset (about 100 billion words). The model contains 300-dimensional vectors for 3 million words and phrases. The phrases were obtained using a simple data-driven approach described in 'Distributed Representations of Words and Phrases and their Compositionality'
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