Model Types

GET

/finetuning/model_types/

curl --request GET \
  --url 'https://api.e2enetworks.com/myaccount/api/v1/gpu/finetuning/model_types/?project_id=<PROJECT_ID>&location=<LOCATION>&apikey=<API_KEY>' \
  --header 'Authorization: Bearer <API_TOKEN>'

import requests

response = requests.get(
    "https://api.e2enetworks.com/myaccount/api/v1/gpu/finetuning/model_types/",
    params={"project_id": "<PROJECT_ID>", "location": "<LOCATION>", "apikey": "<API_KEY>"},
    headers={"Authorization": "Bearer <API_TOKEN>"},
)
print(response.json())

const url = new URL("https://api.e2enetworks.com/myaccount/api/v1/gpu/finetuning/model_types/");
url.search = new URLSearchParams({ project_id: "<PROJECT_ID>", location: "<LOCATION>", apikey: "<API_KEY>" });

const response = await fetch(url, {
  method: "GET",
  headers: { "Authorization": "Bearer <API_TOKEN>" },
});
console.log(await response.json());

Parameters

Query Parameters

project_id

required

integer

Project ID

active_iam

integer

Active IAM ID (To access contact person account) Find your Active IAM ID here

location

required

string

Allowed values: Delhi Chennai

Location

Responses

200

Successful response with a list of models.

application/json

object

code

HTTP status code for the operation.

integer

data

List of models.

Array<object>

object

name

Name of the model.

string

description

A brief description of the model.

string

is_internal

Indicates if the model is internal.

boolean

model_icon_url

URL for the model icon image.

string

errors

Contains any errors that occurred.

object

message

Result message confirming the operation.

string

Example

{
  "code": 200,
  "data": [
    {
      "name": "meta-llama/Llama-2-7b-hf",
      "description": "Model For Finetuning LLAMA",
      "is_internal": false,
      "model_icon_url": "/framework/llma2.jpeg"
    }
  ],
  "errors": {},
  "message": "Success"
}