# Using Fastext vector model in Prodigy?

**URL:** <https://support.prodi.gy/t/using-fastext-vector-model-in-prodigy/95>\
**Category:** Uncategorized\
**Tags:** usage, spacy, solved\
**Created:** [November 16, 2017, 3:47pm UTC](https://support.prodi.gy/t/using-fastext-vector-model-in-prodigy/95 "2017-11-16T15:47:42Z")\
**Posts on this page:** 1\
**Showing post:** 2

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**Author:** ![ines](https://sea2.discourse-cdn.com/flex020/user_avatar/support.prodi.gy/ines/32/3_2.png) [@ines](https://support.prodi.gy/u/ines)\
**Post date:** [November 16, 2017, 3:59pm UTC](https://support.prodi.gy/t/using-fastext-vector-model-in-prodigy/95/2 "2017-11-16T15:59:38Z")

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Yes! All you have to do is add the vectors to spaCy, save out the model and load it with Prodigy. We actually have an end-to-end example script for adding fastText vectors to spaCy: [see this page](https://spacy.io/usage/vectors-similarity#custom-loading-other) for the code and more details. Here’s the script:

> <https://github.com/explosion/spacy/blob/master/examples/vectors_fast_text.py>

After adding the vectors, you can simply call `nlp.to_disk('/path/to/model')`, which saves the full model including the vectors to a directory. You can then load it into Prodigy using that path – for example:

```bash
prodigy terms.teach fruits_dataset /path/to/model --seeds apple,pear,banana

```

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_[View the full topic](https://support.prodi.gy/t/using-fastext-vector-model-in-prodigy/95)._