Questions

A text classifier trained on the TREC dataset.

Use this public function to categorize your text data into Abbr:abb, Abbr:exp, Desc:def, and 47 other labels. Try it out below or contact us to get API access.

Not what you are looking for? Check out our other pretrained text classifiers or train your own custom text classifier.

Function Statistics

Total samples	5,381
Number of labels	50
Labels

Want to Use This Function?

Integrate this function into your product with one simple API call:

curl -X POST \
  -H 'Authorization: Bearer <accessToken>' \
  -F 'data=@<fileName>' \
  'https://www.nyckel.com/v1/functions/yzfv9xlzcx7pptyh/invoke'

import requests

url = 'https://www.nyckel.com/v1/functions/yzfv9xlzcx7pptyh/invoke'
headers = {
    'Authorization': 'Bearer ' + '<accessToken>',
}

with open('<fileName>', 'rb') as f:
    result = requests.post(url, headers=headers, files={'data': f})
print(result.text)

const form = new FormData();
form.append('data', File(<fileBytes>, '<fileName>'));

fetch('https://www.nyckel.com/v1/functions/yzfv9xlzcx7pptyh/invoke', {
    method: 'POST',
    headers: {
        'Authorization': 'Bearer ' + '<accessToken>',
    },
    body: form
})
.then(response => response.json())
.then(data => console.log(data));

$ch = curl_init();

curl_setopt($ch, CURLOPT_URL, 'https://www.nyckel.com/v1/functions/yzfv9xlzcx7pptyh/invoke');
curl_setopt($ch, CURLOPT_RETURNTRANSFER, 1);
curl_setopt($ch, CURLOPT_POST, 1);

$file = curl_file_create(realpath('<fileName>'));
$fields = array('data' => $file);
curl_setopt($ch, CURLOPT_POSTFIELDS, $fields);

$headers = array();
$headers[] = 'Authorization: Bearer ' . '<accessToken>';
$headers[] = 'Content-Type: multipart/form-data';
curl_setopt($ch, CURLOPT_HTTPHEADER, $headers);

$result = curl_exec($ch);
curl_close($ch);
echo $result;

Get in touch with the team at Nyckel to find out more and get API access.

Not What You're Looking For?

Check out our other pretrained text classifiers or train your own custom text classifier.