---
title: Model
version: EN
---

### read_model_repository
```python
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**
```python
vessl.read_model_repository(
    repository_name="Transformer-ImageNet",
)
```

----

## list_model_repositories
```python
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**
```python
vessl.list_model_repositories()
```

----

## create_model_repository
```python
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**
```python
vessl.create_model_repository(
    name="Transformer-ImageNet",
    description="Transformer model trained on ImageNet",
)
```

----

## update_model_repository
```python
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**
```python
vessl.update_model_repository(
    name="Transformer-ImageNet",
    description="Update description to this",
)
```

----

## delete_model_repository
```python
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**
```python
vessl.delete_model_repository(
    name="Transformer-ImageNet",
)
```

----

## read_model
```python
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**
```python
vessl.read_model(
    repository_name="Transformer-ImageNet",
    model_number=1,
)
```

----

## list_models
```python
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**
```python
vessl.list_models(
    repository_name="Transformer-ImageNet",
)
```

----

## create_model
```python
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**
```python
vessl.create_model(
    repository_name="Transformer-ImageNet",
    repository_description="Transformer model trained on ImageNet",
    experiment_id=123456,
    model_name="v0.0.1",
)
```

----

## update_model
```python
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**
```python
vessl.update_model(
    repository_name="Transformer-ImageNet",
    model_number=1,
    name="v0.0.2",
)
```

----

## delete_model
```python
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**
```python
vessl.delete_model(
    repository_name="Transformer-ImageNet",
    model_number=1,
)
```

----

## list_model_volume_files
```python
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**
```python
vessl.list_model_volume_files(
    repository_name="Transformer-ImageNet",
    model_number=1,
    recursive=True,
)
```

----

## upload_model_volume_file
```python
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**
```python
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
```python
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**
```python
vessl.download_model_volume_file(
    repository_name="Transformer-ImageNet",
    model_number=1,
    source_path="model_best.pth",
    dest_path="models",
)
```

----

## delete_model_volume_file
```python
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**
```python
vessl.delete_model_volume_file(
    repository_name="Transformer-ImageNet",
    model_number=1,
    source_path="models",
    recursive=True,
)
```