curl --request GET \
  --url https://studio.edgeimpulse.com/v1/api/{projectId}/pretrained-model \
  --header 'x-api-key: <api-key>'

import requests

url = "https://studio.edgeimpulse.com/v1/api/{projectId}/pretrained-model"

headers = {"x-api-key": "<api-key>"}

response = requests.get(url, headers=headers)

print(response.text)

const options = {method: 'GET', headers: {'x-api-key': '<api-key>'}};

fetch('https://studio.edgeimpulse.com/v1/api/{projectId}/pretrained-model', 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://studio.edgeimpulse.com/v1/api/{projectId}/pretrained-model",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "GET",
  CURLOPT_HTTPHEADER => [
    "x-api-key: <api-key>"
  ],
]);

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

curl_close($curl);

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

package main

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

func main() {

	url := "https://studio.edgeimpulse.com/v1/api/{projectId}/pretrained-model"

	req, _ := http.NewRequest("GET", url, nil)

	req.Header.Add("x-api-key", "<api-key>")

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

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

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.get("https://studio.edgeimpulse.com/v1/api/{projectId}/pretrained-model")
  .header("x-api-key", "<api-key>")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://studio.edgeimpulse.com/v1/api/{projectId}/pretrained-model")

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

request = Net::HTTP::Get.new(url)
request["x-api-key"] = '<api-key>'

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

{
  "success": true,
  "specificDeviceSelected": true,
  "availableModelTypes": [],
  "error": "<string>",
  "model": {
    "fileName": "<string>",
    "inputs": [
      {
        "name": "<string>",
        "shape": [
          123
        ],
        "quantizationScale": 123,
        "quantizationZeroPoint": 123
      }
    ],
    "outputs": [
      {
        "name": "<string>",
        "shape": [
          123
        ],
        "quantizationScale": 123,
        "quantizationZeroPoint": 123
      }
    ],
    "profileInfo": {
      "table": {
        "lowEndMcu": {
          "description": "<string>",
          "supported": true,
          "timePerInferenceMs": 123,
          "memory": {
            "tflite": {
              "ram": 123,
              "rom": 123
            },
            "eon": {
              "ram": 123,
              "rom": 123
            },
            "eonRamOptimized": {
              "ram": 123,
              "rom": 123
            }
          },
          "mcuSupportError": "<string>"
        },
        "highEndMcu": {
          "description": "<string>",
          "supported": true,
          "timePerInferenceMs": 123,
          "memory": {
            "tflite": {
              "ram": 123,
              "rom": 123
            },
            "eon": {
              "ram": 123,
              "rom": 123
            },
            "eonRamOptimized": {
              "ram": 123,
              "rom": 123
            }
          },
          "mcuSupportError": "<string>"
        },
        "highEndMcuPlusAccelerator": {
          "description": "<string>",
          "supported": true,
          "timePerInferenceMs": 123,
          "memory": {
            "tflite": {
              "ram": 123,
              "rom": 123
            },
            "eon": {
              "ram": 123,
              "rom": 123
            },
            "eonRamOptimized": {
              "ram": 123,
              "rom": 123
            }
          },
          "mcuSupportError": "<string>"
        },
        "mpu": {
          "description": "<string>",
          "supported": true,
          "timePerInferenceMs": 123,
          "rom": 123
        },
        "gpuOrMpuAccelerator": {
          "description": "<string>",
          "supported": true,
          "timePerInferenceMs": 123,
          "rom": 123
        }
      },
      "float32": {
        "device": "<string>",
        "tfliteFileSizeBytes": 123,
        "isSupportedOnMcu": true,
        "customMetrics": [
          {
            "name": "<string>",
            "value": "<string>"
          }
        ],
        "hasPerformance": true,
        "memory": {
          "tflite": {
            "ram": 123,
            "rom": 123,
            "arenaSize": 123
          },
          "eon": {
            "ram": 123,
            "rom": 123,
            "arenaSize": 123
          },
          "eonRamOptimized": {
            "ram": 123,
            "rom": 123,
            "arenaSize": 123
          }
        },
        "timePerInferenceMs": 123,
        "mcuSupportError": "<string>",
        "profilingError": "<string>"
      },
      "int8": {
        "device": "<string>",
        "tfliteFileSizeBytes": 123,
        "isSupportedOnMcu": true,
        "customMetrics": [
          {
            "name": "<string>",
            "value": "<string>"
          }
        ],
        "hasPerformance": true,
        "memory": {
          "tflite": {
            "ram": 123,
            "rom": 123,
            "arenaSize": 123
          },
          "eon": {
            "ram": 123,
            "rom": 123,
            "arenaSize": 123
          },
          "eonRamOptimized": {
            "ram": 123,
            "rom": 123,
            "arenaSize": 123
          }
        },
        "timePerInferenceMs": 123,
        "mcuSupportError": "<string>",
        "profilingError": "<string>"
      }
    },
    "profileJobId": 123,
    "profileJobFailed": true,
    "supportsTFLite": true
  },
  "modelInfo": {
    "input": {
      "inputType": "time-series",
      "frequencyHz": 123,
      "windowLengthMs": 123
    },
    "model": {
      "modelType": "classification",
      "labels": [
        "<string>"
      ]
    }
  }
}