| | --- |
| | 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"]) |
| | ``` |
| |
|
