antirez / word2vec-simple-parsing

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Introduction of word2vec-simple-parsing

Model Details of word2vec-simple-parsing

Word2Vec in a non overengineered file format

This is the Word2Vec words embedding collection by Google(TM) converted in a sane binary format that you can read with a trivial program, without resorting to complicated libraries.

This is the format:

  1. All the integers are unsigned, in little endian format.
  2. Floating point numbers of the embedding vectors are stored as single precision floating point numbers, float32.

The file starts with a header of 8 bytes:

uint32_t num_entries    // Number of entries: 3000000 in this file
uint32_t dimension      // Embedding dimension: 300 in this file

Then each entry is stored as:

uint16_t word_len       // Length of the UTF-8 encoded word.
word_len bytes          // UTF-8 encoded word.
float[300]              // 300 float32 numbers, 1200 bytes in total.

The license is the same as Google's original Word2Vec, Apache 2.0.

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https://choosealicense.com/licenses/apache-2.0

word2vec-simple-parsing huggingface.co

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word2vec-simple-parsing is an open source model from GitHub that offers a free installation service, and any user can find word2vec-simple-parsing on GitHub to install. At the same time, huggingface.co provides the effect of word2vec-simple-parsing install, users can directly use word2vec-simple-parsing installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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https://huggingface.co/antirez/word2vec-simple-parsing

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