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word2vec-google-news-negative-300-bin
NathaNn1111/word2vec-google-news-negative-300-bin
word2vec-google-news-negative-300-bin is a machine learning model from NathaNn1111. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
The GoogleNews-vectors-negative300.bin file is a substantial and widely used word embedding model developed by Google. This binary file contains a collection of word vectors, each representing a word or phrase as a nu…
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Updated Nov 3, 2023
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At a glance
- License
- mit
- Access
- Public
- Created
- Nov 2, 2023
- Updated
- Nov 3, 2023
- SHA
- 78856d45
Model card
From the Hugging Face model README
The GoogleNews-vectors-negative300.bin file is a substantial and widely used word embedding model developed by Google. This binary file contains a collection of word vectors, each representing a word or phrase as a numerical vector in a 300-dimensional space. These word vectors are trained on a massive corpus of news articles and web text, enabling them to capture the semantic meaning and relationships between words.
- License
- mit
- Languages
- en
- Created
- Nov 2, 2023
- Updated
- Nov 3, 2023