Model registry API
- Tier: Free, Premium, Ultimate
- Offering: GitLab.com, GitLab Self-Managed, GitLab Dedicated
Use this API to interact with the machine learning model registry. For more information, see model registry.
Download a machine learning model package
Returns the file.
GET /projects/:id/packages/ml_models/:model_version_id/files/(*path/):file_nameFor Versions, the :model_version_id is specified in the URL of the model version.
In the following example, the model version is 5: /namespace/project/-/ml/models/1/versions/5.
For Runs, the ID must prepended with candidate:. In the following example, the :model_version_id is candidate:5: /namespace/project/-/ml/candidates/5.
Parameters:
| Attribute | Type | Required | Description |
|---|---|---|---|
id | integer or string | yes | The ID or URL-encoded path of the project |
model_version_id | integer or string | yes | The model version ID for the file |
path | string | yes | File directory path |
filename | string | yes | Filename |
curl --header "Authorization: Bearer <your_access_token>" \
--url "https://gitlab.example.com/api/v4/projects/:id/packages/ml_models/:model_version_id/files/(*path/):filename"The response contains the file contents.
For example, the following command returns the file foo.txt for the model version with an ID of 2 and project with an ID of 1.
curl --header "Authorization: Bearer <your_access_token>" \
--url "https://gitlab.example.com/api/v4/projects/1/packages/ml_models/2/files/foo.txt"