Save a model and register a version

curl --request POST \
  --url https://api.veri.studio/v1/models/register \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "training_job_id": "<string>",
  "name": "<string>",
  "model": "<string>",
  "artifact": "<string>",
  "dataset_snapshot_id": "<string>",
  "tags": [
    "<string>"
  ]
}
'

import requests

url = "https://api.veri.studio/v1/models/register"

payload = {
    "training_job_id": "<string>",
    "name": "<string>",
    "model": "<string>",
    "artifact": "<string>",
    "dataset_snapshot_id": "<string>",
    "tags": ["<string>"]
}
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({
    training_job_id: '<string>',
    name: '<string>',
    model: '<string>',
    artifact: '<string>',
    dataset_snapshot_id: '<string>',
    tags: ['<string>']
  })
};

fetch('https://api.veri.studio/v1/models/register', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

{
  "object": "<string>",
  "id": "<string>",
  "name": "<string>",
  "base_model": "<string>",
  "artifact_type": "<string>",
  "source": "<string>",
  "status": "<string>",
  "created_at": "2023-11-07T05:31:56Z",
  "updated_at": "2023-11-07T05:31:56Z",
  "training_job_id": "<string>",
  "huggingface_id": "<string>",
  "size_bytes": 123,
  "error": "<string>",
  "version": {
    "object": "<string>",
    "id": "<string>",
    "model_id": "<string>",
    "model": "<string>",
    "version": 123,
    "name": "<string>",
    "artifact_type": "<string>",
    "tags": [
      "<string>"
    ],
    "pinned": true,
    "status": "<string>",
    "aliases": [
      "<string>"
    ],
    "created_at": "2023-11-07T05:31:56Z",
    "custom_model_id": "<string>",
    "dataset_snapshot_id": "<string>",
    "training_job_id": "<string>",
    "parent_version_id": "<string>",
    "pinned_at": "2023-11-07T05:31:56Z",
    "purged_at": "2023-11-07T05:31:56Z",
    "created_by": "<string>"
  }
}

{
  "object": "<string>",
  "id": "<string>",
  "name": "<string>",
  "base_model": "<string>",
  "artifact_type": "<string>",
  "source": "<string>",
  "status": "<string>",
  "created_at": "2023-11-07T05:31:56Z",
  "updated_at": "2023-11-07T05:31:56Z",
  "training_job_id": "<string>",
  "huggingface_id": "<string>",
  "size_bytes": 123,
  "error": "<string>",
  "version": {
    "object": "<string>",
    "id": "<string>",
    "model_id": "<string>",
    "model": "<string>",
    "version": 123,
    "name": "<string>",
    "artifact_type": "<string>",
    "tags": [
      "<string>"
    ],
    "pinned": true,
    "status": "<string>",
    "aliases": [
      "<string>"
    ],
    "created_at": "2023-11-07T05:31:56Z",
    "custom_model_id": "<string>",
    "dataset_snapshot_id": "<string>",
    "training_job_id": "<string>",
    "parent_version_id": "<string>",
    "pinned_at": "2023-11-07T05:31:56Z",
    "purged_at": "2023-11-07T05:31:56Z",
    "created_by": "<string>"
  }
}