curl --request POST \
  --url http://studio.premai.io/api/v1/public/finetuning/create \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "snapshot_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "name": "<string>",
  "experiments": [
    {
      "base_model_id": "<string>",
      "batch_size": 2,
      "learning_rate_multiplier": 1,
      "n_epochs": 2,
      "refinetune_from_experiment_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a"
    }
  ]
}
'

import requests

url = "http://studio.premai.io/api/v1/public/finetuning/create"

payload = {
    "snapshot_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "name": "<string>",
    "experiments": [
        {
            "base_model_id": "<string>",
            "batch_size": 2,
            "learning_rate_multiplier": 1,
            "n_epochs": 2,
            "refinetune_from_experiment_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a"
        }
    ]
}
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({
    snapshot_id: '3c90c3cc-0d44-4b50-8888-8dd25736052a',
    name: '<string>',
    experiments: [
      {
        base_model_id: '<string>',
        batch_size: 2,
        learning_rate_multiplier: 1,
        n_epochs: 2,
        refinetune_from_experiment_id: '3c90c3cc-0d44-4b50-8888-8dd25736052a'
      }
    ]
  })
};

fetch('http://studio.premai.io/api/v1/public/finetuning/create', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

{
  "job_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a"
}

{
  "error": "<string>"
}

{
  "error": "<string>"
}

{
  "error": "<string>"
}

{
  "error": "<string>"
}

{
  "error": "<string>"
}