| --- |
| tags: |
| - sentence-similarity |
| inference: false |
| license: cc-by-sa-3.0 |
| language: en |
| library_name: staticvectors |
| base_model: |
| - NeuML/fasttext |
| --- |
| |
| # FastText StaticVectors model |
|
|
| This model is an export of these [FastText English Vectors](https://fasttext.cc/docs/en/english-vectors.html) (_wiki-news-300d-1M-subword.vec.zip_) for [`staticvectors`](https://github.com/neuml/staticvectors). `staticvectors` enables running inference in Python with NumPy. This helps it maintain solid runtime performance. |
|
|
| _This model is a quantized version of the base model. It's using 10x256 Product Quantization._ |
|
|
| ## Usage with StaticVectors |
|
|
| ```python |
| from staticvectors import StaticVectors |
| |
| model = StaticVectors("neuml/fasttext-quantized") |
| model.embeddings(["word"]) |
| ``` |
|
|
