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.

post

/api/{projectId}/pretrained-model/upload

Authorizations

ApiKeyAuthenticationJWTAuthenticationJWTHttpHeaderAuthentication

Path parameters

projectIdintegerrequired

Project ID

Query parameters

impulseIdinteger

Impulse ID. If this is unset then the default impulse is used.

Body

modelFilestring · binaryrequired

modelFileNamestringrequired

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.

modelFileTypestring · enumrequired

Options: tflite, onnx, saved_model

Responses

application/json

cURL

JavaScript

Python

HTTP

cURL

curl -L \
  --request POST \
  --url 'https://studio.edgeimpulse.com/v1/api/{projectId}/pretrained-model/upload' \
  --header 'x-api-key: YOUR_API_KEY' \
  --header 'Content-Type: multipart/form-data' \
  --data '{"modelFile":"text","modelFileName":"text","modelFileType":"tflite"}'

200

200

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

OK