Upload a pretrained model

Upload a pretrained model

Upload a pretrained model and receive info back about the input/output tensors. If you want to deploy a pretrained model from the API, see startDeployPretrainedModelJob.

POSThttps://studio.edgeimpulse.com/v1/api/{projectId}/pretrained-model/upload

Path parameters

projectId*integer

Project ID

Query parameters

Body

multipart/form-data

modelFile*string (binary)

modelFileName*string

modelFileType*enum

tfliteonnxsaved_model

representativeFeaturesstring (binary)

devicestring

MCU used for calculating latency, query latencyDevices in listProject for a list of supported devices (and use the "mcu" property here). If this is kept empty then we'll show an overview of multiple devices.

Response

200

OK

Body

application/json

success*boolean

Whether the operation succeeded

errorstring

Optional error description (set if 'success' was false)

id*integer

Job identifier. Status updates will include this identifier.

Example: 12873488112

Request

JavaScriptCurlPython

const response = await fetch('https://studio.edgeimpulse.com/v1/api/{projectId}/pretrained-model/upload', {
    method: 'POST',
    headers: {
      "Content-Type": "multipart/form-data"
    },
    body: JSON.stringify({
      "modelFile": "binary",
      "modelFileName": "text",
      "modelFileType": "tflite"
    }),
});
const data = await response.json();

Response

200

{
  "success": false,
  "error": "text",
  "id": 12873488112
}