| --- |
| tags: |
| - sentence-similarity |
| inference: false |
| license: apache-2.0 |
| language: en |
| library_name: staticvectors |
| --- |
| |
| # Word2Vec StaticVectors model |
|
|
| This model is an export of these [Word2Vec Vectors](https://code.google.com/archive/p/word2vec/) for [`staticvectors`](https://github.com/neuml/staticvectors). `staticvectors` enables running inference in Python with NumPy. This helps it maintain solid runtime performance. |
|
|
| ## Usage with StaticVectors |
|
|
| ```python |
| from staticvectors import StaticVectors |
| |
| model = StaticVectors("neuml/word2vec") |
| model.embeddings(["word"]) |
| ``` |
|
|
| Given that pre-trained embeddings models can get quite large, there is also a SQLite version that lazily loads vectors. |
|
|
| ```python |
| from staticvectors import StaticVectors |
| |
| model = StaticVectors("neuml/word2vec/model.sqlite") |
| model.embeddings(["word"]) |
| ``` |
|
|
