curl --request POST \
  --url https://api.priorlabs.ai/tabpfn/fit \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "train_set_upload_id": "11111111-1111-4111-8111-111111111111",
  "task_config": {
    "task": "classification",
    "tabpfn_config": {
      "model_path": "v3.5_default"
    }
  },
  "text_handling": "advanced"
}
'

import requests

url = "https://api.priorlabs.ai/tabpfn/fit"

payload = {
    "train_set_upload_id": "11111111-1111-4111-8111-111111111111",
    "task_config": {
        "task": "classification",
        "tabpfn_config": { "model_path": "v3.5_default" }
    },
    "text_handling": "advanced"
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    train_set_upload_id: '11111111-1111-4111-8111-111111111111',
    task_config: {task: 'classification', tabpfn_config: {model_path: 'v3.5_default'}},
    text_handling: 'advanced'
  })
};

fetch('https://api.priorlabs.ai/tabpfn/fit', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.priorlabs.ai/tabpfn/fit",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'train_set_upload_id' => '11111111-1111-4111-8111-111111111111',
    'task_config' => [
        'task' => 'classification',
        'tabpfn_config' => [
                'model_path' => 'v3.5_default'
        ]
    ],
    'text_handling' => 'advanced'
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.priorlabs.ai/tabpfn/fit"

	payload := strings.NewReader("{\n  \"train_set_upload_id\": \"11111111-1111-4111-8111-111111111111\",\n  \"task_config\": {\n    \"task\": \"classification\",\n    \"tabpfn_config\": {\n      \"model_path\": \"v3.5_default\"\n    }\n  },\n  \"text_handling\": \"advanced\"\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://api.priorlabs.ai/tabpfn/fit")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"train_set_upload_id\": \"11111111-1111-4111-8111-111111111111\",\n  \"task_config\": {\n    \"task\": \"classification\",\n    \"tabpfn_config\": {\n      \"model_path\": \"v3.5_default\"\n    }\n  },\n  \"text_handling\": \"advanced\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.priorlabs.ai/tabpfn/fit")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"train_set_upload_id\": \"11111111-1111-4111-8111-111111111111\",\n  \"task_config\": {\n    \"task\": \"classification\",\n    \"tabpfn_config\": {\n      \"model_path\": \"v3.5_default\"\n    }\n  },\n  \"text_handling\": \"advanced\"\n}"

response = http.request(request)
puts response.read_body

{
  "fitted_train_set_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "status": "pending",
  "timings": {
    "elapsed_s": 123,
    "queue_wait_s": 123,
    "train_set_transform_s": 123,
    "fit_s": 123
  }
}

{
  "message": "<string>",
  "error_code": "GENERAL_ERROR",
  "trace_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a"
}