You send an http get with some text, and get label probabilities for it.
- install leiningen if not already installed
- clone this repo
- change directory to the included directory
fasttext. - place your trained fasttext model here ― it should be named
classifier.bin. - git clone https://github.com/facebookresearch/fastText.
- validate the installation by running
lein test
to start the server:
lein run [port]
to get a response, make an http get request with the single query parameter text. E.g. with curl this would look like ―
curl -G http://localhost:3001/predict --data-urlencode "text=classify me"
Currently utilizes just one fasttext worker! support for multiple workers is not built-in yet. See below the VisaulVM output of the performance and throughput tests (included in the test directory) as of the current commit on a 12-core i7 ―
