Model API

Search…
Model API
​
read_model_repository
vessl.read_model_repository(
   repository_name: str, **kwargs
)
Read model repository in the default organization. If you want to override the default organization, then pass organization_name as **kwargs.
Args
repository_name (str) : Model repository name.
Example
vessl.read_model_repository(
    repository_name="Transformer-ImageNet",
)
​
list_model_repositories
vessl.list_model_repositories(
   **kwargs
)
List model repositories in the default organization. If you want to override the default organization, then pass organization_name as **kwargs.
Example
vessl.list_model_repositories()
​
create_model_repository
vessl.create_model_repository(
   name: str, description: str = None, **kwargs
)
Create model repository in the default organization. If you want to override the default organization, then pass organization_name as **kwargs.
Args
name (str) : Model repository name.
description (str) : Model repository description. Defaults to None.
Example
vessl.create_model_repository(
    name="Transformer-ImageNet",
    description="Transformer model trained on ImageNet",
)
​
update_model_repository
vessl.update_model_repository(
   name: str, description: str, **kwargs
)
Update model repository in the default organization. If you want to override the default organization, then pass organization_name as **kwargs.
Args
name (str) : Model repository name.
description (str) : Model repository description to update.
Example
vessl.update_model_repository(
    name="Transformer-ImageNet",
    description="Update description to this",
)
​
delete_model_repository
vessl.delete_model_repository(
   name: str, **kwargs
)
Delete model repository in the default organization. If you want to override the default organization, then pass organization_name as **kwargs.
Args
name (str) : Model repository name.
Example
vessl.delete_model_repository(
    name="Transformer-ImageNet",
)
​
read_model
vessl.read_model(
   repository_name: str, model_number: int, **kwargs
)
Read model in the default organization. If you want to override the default organization, then pass organization_name as **kwargs.
Args
repository_name (str) : Model repository name.
model_number (int) : Model number.
Example
vessl.read_model(
    repository_name="Transformer-ImageNet",
    model_number=1,
)
​
list_models
vessl.list_models(
   repository_name: str, **kwargs
)
List models in the default organization. If you want to override the default organization, then pass organization_name as **kwargs.
Args
repository_name (str) : Model repository name.
Example
vessl.list_models(
    repository_name="Transformer-ImageNet",
)
​
create_model
vessl.create_model(
   repository_name: str, repository_description: str = None, experiment_id: int = None,
   model_name: str = None, paths: List[str] = None, **kwargs
)
Create model in the default organization. If you want to override the default organization, then pass organization_name as **kwargs. If the given model repository name does not exist, then create one with the given repository_description. Otherwise, create a model in the existing model repository.
Args
repository_name (str) : Model repository name.
repository_description (str) : Model repository description. Defaults to None
experiment_id (int) : Pass experiment ID if the model is sourced from the experiment outputs. Defaults to None.
model_name (str) : Model name is unique and optional. Defaults to None.
paths (List[str]) : Paths for creating model. Paths could be sub paths of experiment output files or local file paths. Defaults to root.
Example
vessl.create_model(
    repository_name="Transformer-ImageNet",
    repository_description="Transformer model trained on ImageNet",
    experiment_id=123456,
    model_name="v0.0.1",
)
​
update_model
vessl.update_model(
   repository_name: str, model_number: int, name: str, **kwargs
)
Update model in the default organization. If you want to override the default organization, then pass organization_name as **kwargs.
Args
repository_name (str) : Model repository name.
model_number (int) : Model number.
name (str) : Model name to update.
Example
vessl.update_model(
    repository_name="Transformer-ImageNet",
    model_number=1,
    name="v0.0.2",
)
​
delete_model
vessl.delete_model(
   repository_name: str, model_number: int, **kwargs
)
Delete model in the default organization. If you want to override the default organization, then pass organization_name as **kwargs.
Args
repository_name (str) : Model repository name.
model_number (int) : Model number.
Example
vessl.delete_model(
    repository_name="Transformer-ImageNet",
    model_number=1,
)
​
list_model_volume_files
vessl.list_model_volume_files(
   repository_name: str, model_number: int, need_download_url: bool = False,
   path: str = '', recursive: bool = False, **kwargs
)
List model files in the default organization. If you want to override the default organization, then pass organization_name as **kwargs.
Args
repository_name (str) : Model repository name.
model_number (int) : Model number.
need_download_url (bool) : True if you need a download URL, False otherwise. Defaults to False.
path (str) : Directory path to list. Defaults to root.
recursive (bool) : True if file is a directory, False otherwise. Defaults to False.
Example
vessl.list_model_volume_files(
    repository_name="Transformer-ImageNet",
    model_number=1,
    recursive=True,
)
​
upload_model_volume_file
vessl.upload_model_volume_file(
   repository_name: str, model_number: int, source_path: str, dest_path: str,
   **kwargs
)
Upload file to the model in the default organization. If you want to override the default organization, then pass organization_name as **kwargs.
Args
repository_name (str) : Model repository name.
model_number (int) : Model number.
source_path (str) : Local source path.
dest_path (str) : Destination path within the model.
Example
vessl.upload_model_volume_file(
    repository_name="Transformer-ImageNet",
    model_number=1,
    source_path="model_best.pth",
    dest_path="model_best.pth",
)
​
download_model_volume_file
vessl.download_model_volume_file(
   repository_name: str, model_number: int, source_path: str, dest_path: str,
   **kwargs
)
Download a model in the default organization. If you want to override the default organization, then pass organization_name as **kwargs.
Args
repository_name (str) : Model repository name.
model_number (int) : Model number.
source_path (str) : Source path within the model
dest_path (str) : Local destination path
Example
vessl.download_model_volume_file(
    repository_name="Transformer-ImageNet",
    model_number=1,
    source_path="model_best.pth",
    dest_path="models",
)
​
delete_model_volume_file
vessl.delete_model_volume_file(
   repository_name: str, model_number: int, path: str, **kwargs
)
Delete the model volume file in the default organization. If you want to override the default organization, then pass organization_name as **kwargs.
Args
repository_name (str) : Model repository name.
model_number (int) : Model number.
path (str) : File path within the model
Example
vessl.delete_model_volume_file(
    repository_name="Transformer-ImageNet",
    model_number=1,
    source_path="models",
    recursive=True,
)
Image API
Model Serving API
Last modified 3mo ago
Copy link
On this page
read_model_repository
list_model_repositories
create_model_repository
update_model_repository
delete_model_repository
read_model
list_models
create_model
update_model
delete_model
list_model_volume_files
upload_model_volume_file
download_model_volume_file
delete_model_volume_file
​
