alicloud.pai.WorkspaceModel
Explore with Pulumi AI
Provides a PAI Workspace Model resource.
For information about PAI Workspace Model and how to use it, see What is Model.
NOTE: Available since v1.249.0.
Example Usage
Basic Usage
import * as pulumi from "@pulumi/pulumi";
import * as alicloud from "@pulumi/alicloud";
import * as random from "@pulumi/random";
const config = new pulumi.Config();
const name = config.get("name") || "terraform_example";
const _default = new random.index.Integer("default", {
min: 10000,
max: 99999,
});
const defaultENuC6u = new alicloud.pai.WorkspaceWorkspace("defaultENuC6u", {
description: "156",
displayName: name,
workspaceName: `${name}_${_default.result}`,
envTypes: ["prod"],
});
const defaultWorkspaceModel = new alicloud.pai.WorkspaceModel("default", {
origin: "Civitai",
task: "text-to-image-synthesis",
modelName: name,
accessibility: "PRIVATE",
workspaceId: defaultENuC6u.id,
modelType: "Checkpoint",
labels: [{
key: "base_model",
value: "SD 1.5",
}],
orderNumber: 1,
extraInfo: {
test: "15",
},
modelDescription: "ModelDescription.",
modelDoc: "https://eas-***.oss-cn-hangzhou.aliyuncs.com/s**.safetensors",
domain: "aigc",
});
import pulumi
import pulumi_alicloud as alicloud
import pulumi_random as random
config = pulumi.Config()
name = config.get("name")
if name is None:
name = "terraform_example"
default = random.index.Integer("default",
min=10000,
max=99999)
default_e_nu_c6u = alicloud.pai.WorkspaceWorkspace("defaultENuC6u",
description="156",
display_name=name,
workspace_name=f"{name}_{default['result']}",
env_types=["prod"])
default_workspace_model = alicloud.pai.WorkspaceModel("default",
origin="Civitai",
task="text-to-image-synthesis",
model_name=name,
accessibility="PRIVATE",
workspace_id=default_e_nu_c6u.id,
model_type="Checkpoint",
labels=[{
"key": "base_model",
"value": "SD 1.5",
}],
order_number=1,
extra_info={
"test": "15",
},
model_description="ModelDescription.",
model_doc="https://eas-***.oss-cn-hangzhou.aliyuncs.com/s**.safetensors",
domain="aigc")
package main
import (
"fmt"
"github.com/pulumi/pulumi-alicloud/sdk/v3/go/alicloud/pai"
"github.com/pulumi/pulumi-random/sdk/v4/go/random"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi/config"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
cfg := config.New(ctx, "")
name := "terraform_example"
if param := cfg.Get("name"); param != "" {
name = param
}
_default, err := random.NewInteger(ctx, "default", &random.IntegerArgs{
Min: 10000,
Max: 99999,
})
if err != nil {
return err
}
defaultENuC6u, err := pai.NewWorkspaceWorkspace(ctx, "defaultENuC6u", &pai.WorkspaceWorkspaceArgs{
Description: pulumi.String("156"),
DisplayName: pulumi.String(name),
WorkspaceName: pulumi.Sprintf("%v_%v", name, _default.Result),
EnvTypes: pulumi.StringArray{
pulumi.String("prod"),
},
})
if err != nil {
return err
}
_, err = pai.NewWorkspaceModel(ctx, "default", &pai.WorkspaceModelArgs{
Origin: pulumi.String("Civitai"),
Task: pulumi.String("text-to-image-synthesis"),
ModelName: pulumi.String(name),
Accessibility: pulumi.String("PRIVATE"),
WorkspaceId: defaultENuC6u.ID(),
ModelType: pulumi.String("Checkpoint"),
Labels: pai.WorkspaceModelLabelArray{
&pai.WorkspaceModelLabelArgs{
Key: pulumi.String("base_model"),
Value: pulumi.String("SD 1.5"),
},
},
OrderNumber: pulumi.Int(1),
ExtraInfo: pulumi.StringMap{
"test": pulumi.String("15"),
},
ModelDescription: pulumi.String("ModelDescription."),
ModelDoc: pulumi.String("https://eas-***.oss-cn-hangzhou.aliyuncs.com/s**.safetensors"),
Domain: pulumi.String("aigc"),
})
if err != nil {
return err
}
return nil
})
}
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using AliCloud = Pulumi.AliCloud;
using Random = Pulumi.Random;
return await Deployment.RunAsync(() =>
{
var config = new Config();
var name = config.Get("name") ?? "terraform_example";
var @default = new Random.Index.Integer("default", new()
{
Min = 10000,
Max = 99999,
});
var defaultENuC6u = new AliCloud.Pai.WorkspaceWorkspace("defaultENuC6u", new()
{
Description = "156",
DisplayName = name,
WorkspaceName = $"{name}_{@default.Result}",
EnvTypes = new[]
{
"prod",
},
});
var defaultWorkspaceModel = new AliCloud.Pai.WorkspaceModel("default", new()
{
Origin = "Civitai",
Task = "text-to-image-synthesis",
ModelName = name,
Accessibility = "PRIVATE",
WorkspaceId = defaultENuC6u.Id,
ModelType = "Checkpoint",
Labels = new[]
{
new AliCloud.Pai.Inputs.WorkspaceModelLabelArgs
{
Key = "base_model",
Value = "SD 1.5",
},
},
OrderNumber = 1,
ExtraInfo =
{
{ "test", "15" },
},
ModelDescription = "ModelDescription.",
ModelDoc = "https://eas-***.oss-cn-hangzhou.aliyuncs.com/s**.safetensors",
Domain = "aigc",
});
});
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.random.integer;
import com.pulumi.random.integerArgs;
import com.pulumi.alicloud.pai.WorkspaceWorkspace;
import com.pulumi.alicloud.pai.WorkspaceWorkspaceArgs;
import com.pulumi.alicloud.pai.WorkspaceModel;
import com.pulumi.alicloud.pai.WorkspaceModelArgs;
import com.pulumi.alicloud.pai.inputs.WorkspaceModelLabelArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;
public class App {
public static void main(String[] args) {
Pulumi.run(App::stack);
}
public static void stack(Context ctx) {
final var config = ctx.config();
final var name = config.get("name").orElse("terraform_example");
var default_ = new Integer("default", IntegerArgs.builder()
.min(10000)
.max(99999)
.build());
var defaultENuC6u = new WorkspaceWorkspace("defaultENuC6u", WorkspaceWorkspaceArgs.builder()
.description("156")
.displayName(name)
.workspaceName(String.format("%s_%s", name,default_.result()))
.envTypes("prod")
.build());
var defaultWorkspaceModel = new WorkspaceModel("defaultWorkspaceModel", WorkspaceModelArgs.builder()
.origin("Civitai")
.task("text-to-image-synthesis")
.modelName(name)
.accessibility("PRIVATE")
.workspaceId(defaultENuC6u.id())
.modelType("Checkpoint")
.labels(WorkspaceModelLabelArgs.builder()
.key("base_model")
.value("SD 1.5")
.build())
.orderNumber(1)
.extraInfo(Map.of("test", "15"))
.modelDescription("ModelDescription.")
.modelDoc("https://eas-***.oss-cn-hangzhou.aliyuncs.com/s**.safetensors")
.domain("aigc")
.build());
}
}
configuration:
name:
type: string
default: terraform_example
resources:
default:
type: random:integer
properties:
min: 10000
max: 99999
defaultENuC6u:
type: alicloud:pai:WorkspaceWorkspace
properties:
description: '156'
displayName: ${name}
workspaceName: ${name}_${default.result}
envTypes:
- prod
defaultWorkspaceModel:
type: alicloud:pai:WorkspaceModel
name: default
properties:
origin: Civitai
task: text-to-image-synthesis
modelName: ${name}
accessibility: PRIVATE
workspaceId: ${defaultENuC6u.id}
modelType: Checkpoint
labels:
- key: base_model
value: SD 1.5
orderNumber: '1'
extraInfo:
test: '15'
modelDescription: ModelDescription.
modelDoc: https://eas-***.oss-cn-hangzhou.aliyuncs.com/s**.safetensors
domain: aigc
Create WorkspaceModel Resource
Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.
Constructor syntax
new WorkspaceModel(name: string, args: WorkspaceModelArgs, opts?: CustomResourceOptions);
@overload
def WorkspaceModel(resource_name: str,
args: WorkspaceModelArgs,
opts: Optional[ResourceOptions] = None)
@overload
def WorkspaceModel(resource_name: str,
opts: Optional[ResourceOptions] = None,
model_name: Optional[str] = None,
accessibility: Optional[str] = None,
domain: Optional[str] = None,
extra_info: Optional[Mapping[str, str]] = None,
labels: Optional[Sequence[WorkspaceModelLabelArgs]] = None,
model_description: Optional[str] = None,
model_doc: Optional[str] = None,
model_type: Optional[str] = None,
order_number: Optional[int] = None,
origin: Optional[str] = None,
task: Optional[str] = None,
workspace_id: Optional[str] = None)
func NewWorkspaceModel(ctx *Context, name string, args WorkspaceModelArgs, opts ...ResourceOption) (*WorkspaceModel, error)
public WorkspaceModel(string name, WorkspaceModelArgs args, CustomResourceOptions? opts = null)
public WorkspaceModel(String name, WorkspaceModelArgs args)
public WorkspaceModel(String name, WorkspaceModelArgs args, CustomResourceOptions options)
type: alicloud:pai:WorkspaceModel
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.
Parameters
- name string
- The unique name of the resource.
- args WorkspaceModelArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- resource_name str
- The unique name of the resource.
- args WorkspaceModelArgs
- The arguments to resource properties.
- opts ResourceOptions
- Bag of options to control resource's behavior.
- ctx Context
- Context object for the current deployment.
- name string
- The unique name of the resource.
- args WorkspaceModelArgs
- The arguments to resource properties.
- opts ResourceOption
- Bag of options to control resource's behavior.
- name string
- The unique name of the resource.
- args WorkspaceModelArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- name String
- The unique name of the resource.
- args WorkspaceModelArgs
- The arguments to resource properties.
- options CustomResourceOptions
- Bag of options to control resource's behavior.
Constructor example
The following reference example uses placeholder values for all input properties.
var workspaceModelResource = new AliCloud.Pai.WorkspaceModel("workspaceModelResource", new()
{
ModelName = "string",
Accessibility = "string",
Domain = "string",
ExtraInfo =
{
{ "string", "string" },
},
Labels = new[]
{
new AliCloud.Pai.Inputs.WorkspaceModelLabelArgs
{
Key = "string",
Value = "string",
},
},
ModelDescription = "string",
ModelDoc = "string",
ModelType = "string",
OrderNumber = 0,
Origin = "string",
Task = "string",
WorkspaceId = "string",
});
example, err := pai.NewWorkspaceModel(ctx, "workspaceModelResource", &pai.WorkspaceModelArgs{
ModelName: pulumi.String("string"),
Accessibility: pulumi.String("string"),
Domain: pulumi.String("string"),
ExtraInfo: pulumi.StringMap{
"string": pulumi.String("string"),
},
Labels: pai.WorkspaceModelLabelArray{
&pai.WorkspaceModelLabelArgs{
Key: pulumi.String("string"),
Value: pulumi.String("string"),
},
},
ModelDescription: pulumi.String("string"),
ModelDoc: pulumi.String("string"),
ModelType: pulumi.String("string"),
OrderNumber: pulumi.Int(0),
Origin: pulumi.String("string"),
Task: pulumi.String("string"),
WorkspaceId: pulumi.String("string"),
})
var workspaceModelResource = new WorkspaceModel("workspaceModelResource", WorkspaceModelArgs.builder()
.modelName("string")
.accessibility("string")
.domain("string")
.extraInfo(Map.of("string", "string"))
.labels(WorkspaceModelLabelArgs.builder()
.key("string")
.value("string")
.build())
.modelDescription("string")
.modelDoc("string")
.modelType("string")
.orderNumber(0)
.origin("string")
.task("string")
.workspaceId("string")
.build());
workspace_model_resource = alicloud.pai.WorkspaceModel("workspaceModelResource",
model_name="string",
accessibility="string",
domain="string",
extra_info={
"string": "string",
},
labels=[{
"key": "string",
"value": "string",
}],
model_description="string",
model_doc="string",
model_type="string",
order_number=0,
origin="string",
task="string",
workspace_id="string")
const workspaceModelResource = new alicloud.pai.WorkspaceModel("workspaceModelResource", {
modelName: "string",
accessibility: "string",
domain: "string",
extraInfo: {
string: "string",
},
labels: [{
key: "string",
value: "string",
}],
modelDescription: "string",
modelDoc: "string",
modelType: "string",
orderNumber: 0,
origin: "string",
task: "string",
workspaceId: "string",
});
type: alicloud:pai:WorkspaceModel
properties:
accessibility: string
domain: string
extraInfo:
string: string
labels:
- key: string
value: string
modelDescription: string
modelDoc: string
modelName: string
modelType: string
orderNumber: 0
origin: string
task: string
workspaceId: string
WorkspaceModel Resource Properties
To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.
Inputs
In Python, inputs that are objects can be passed either as argument classes or as dictionary literals.
The WorkspaceModel resource accepts the following input properties:
- Model
Name string - The name of the model. The name must be 1 to 127 characters in length.
- Accessibility string
- The visibility of the model in the workspace. Default value:
PRIVATE
. Valid values:PRIVATE
: In this workspace, it is only visible to you and the administrator.PUBLIC
: In this workspace, it is visible to everyone.
- Domain string
- The domain of the model. Describe the domain in which the model solves the problem. For example: nlp (natural language processing), cv (computer vision), etc.
- Extra
Info Dictionary<string, string> - Other information about the model.
- Labels
List<Pulumi.
Ali Cloud. Pai. Inputs. Workspace Model Label> - A list of tags. See
labels
below. - Model
Description string - The model description, used to distinguish different models.
- Model
Doc string - The documentation of the model.
- Model
Type string - The model type. Example: Checkpoint or LoRA.
- Order
Number int - The sequence number of the model. Can be used for custom sorting.
- Origin string
- The source of the model. The community or organization to which the source model belongs, such as ModelScope or HuggingFace.
- Task string
- The task of the model. Describes the specific problem that the model solves. Example: text-classification.
- Workspace
Id string - The ID of the workspace.
- Model
Name string - The name of the model. The name must be 1 to 127 characters in length.
- Accessibility string
- The visibility of the model in the workspace. Default value:
PRIVATE
. Valid values:PRIVATE
: In this workspace, it is only visible to you and the administrator.PUBLIC
: In this workspace, it is visible to everyone.
- Domain string
- The domain of the model. Describe the domain in which the model solves the problem. For example: nlp (natural language processing), cv (computer vision), etc.
- Extra
Info map[string]string - Other information about the model.
- Labels
[]Workspace
Model Label Args - A list of tags. See
labels
below. - Model
Description string - The model description, used to distinguish different models.
- Model
Doc string - The documentation of the model.
- Model
Type string - The model type. Example: Checkpoint or LoRA.
- Order
Number int - The sequence number of the model. Can be used for custom sorting.
- Origin string
- The source of the model. The community or organization to which the source model belongs, such as ModelScope or HuggingFace.
- Task string
- The task of the model. Describes the specific problem that the model solves. Example: text-classification.
- Workspace
Id string - The ID of the workspace.
- model
Name String - The name of the model. The name must be 1 to 127 characters in length.
- accessibility String
- The visibility of the model in the workspace. Default value:
PRIVATE
. Valid values:PRIVATE
: In this workspace, it is only visible to you and the administrator.PUBLIC
: In this workspace, it is visible to everyone.
- domain String
- The domain of the model. Describe the domain in which the model solves the problem. For example: nlp (natural language processing), cv (computer vision), etc.
- extra
Info Map<String,String> - Other information about the model.
- labels
List<Workspace
Model Label> - A list of tags. See
labels
below. - model
Description String - The model description, used to distinguish different models.
- model
Doc String - The documentation of the model.
- model
Type String - The model type. Example: Checkpoint or LoRA.
- order
Number Integer - The sequence number of the model. Can be used for custom sorting.
- origin String
- The source of the model. The community or organization to which the source model belongs, such as ModelScope or HuggingFace.
- task String
- The task of the model. Describes the specific problem that the model solves. Example: text-classification.
- workspace
Id String - The ID of the workspace.
- model
Name string - The name of the model. The name must be 1 to 127 characters in length.
- accessibility string
- The visibility of the model in the workspace. Default value:
PRIVATE
. Valid values:PRIVATE
: In this workspace, it is only visible to you and the administrator.PUBLIC
: In this workspace, it is visible to everyone.
- domain string
- The domain of the model. Describe the domain in which the model solves the problem. For example: nlp (natural language processing), cv (computer vision), etc.
- extra
Info {[key: string]: string} - Other information about the model.
- labels
Workspace
Model Label[] - A list of tags. See
labels
below. - model
Description string - The model description, used to distinguish different models.
- model
Doc string - The documentation of the model.
- model
Type string - The model type. Example: Checkpoint or LoRA.
- order
Number number - The sequence number of the model. Can be used for custom sorting.
- origin string
- The source of the model. The community or organization to which the source model belongs, such as ModelScope or HuggingFace.
- task string
- The task of the model. Describes the specific problem that the model solves. Example: text-classification.
- workspace
Id string - The ID of the workspace.
- model_
name str - The name of the model. The name must be 1 to 127 characters in length.
- accessibility str
- The visibility of the model in the workspace. Default value:
PRIVATE
. Valid values:PRIVATE
: In this workspace, it is only visible to you and the administrator.PUBLIC
: In this workspace, it is visible to everyone.
- domain str
- The domain of the model. Describe the domain in which the model solves the problem. For example: nlp (natural language processing), cv (computer vision), etc.
- extra_
info Mapping[str, str] - Other information about the model.
- labels
Sequence[Workspace
Model Label Args] - A list of tags. See
labels
below. - model_
description str - The model description, used to distinguish different models.
- model_
doc str - The documentation of the model.
- model_
type str - The model type. Example: Checkpoint or LoRA.
- order_
number int - The sequence number of the model. Can be used for custom sorting.
- origin str
- The source of the model. The community or organization to which the source model belongs, such as ModelScope or HuggingFace.
- task str
- The task of the model. Describes the specific problem that the model solves. Example: text-classification.
- workspace_
id str - The ID of the workspace.
- model
Name String - The name of the model. The name must be 1 to 127 characters in length.
- accessibility String
- The visibility of the model in the workspace. Default value:
PRIVATE
. Valid values:PRIVATE
: In this workspace, it is only visible to you and the administrator.PUBLIC
: In this workspace, it is visible to everyone.
- domain String
- The domain of the model. Describe the domain in which the model solves the problem. For example: nlp (natural language processing), cv (computer vision), etc.
- extra
Info Map<String> - Other information about the model.
- labels List<Property Map>
- A list of tags. See
labels
below. - model
Description String - The model description, used to distinguish different models.
- model
Doc String - The documentation of the model.
- model
Type String - The model type. Example: Checkpoint or LoRA.
- order
Number Number - The sequence number of the model. Can be used for custom sorting.
- origin String
- The source of the model. The community or organization to which the source model belongs, such as ModelScope or HuggingFace.
- task String
- The task of the model. Describes the specific problem that the model solves. Example: text-classification.
- workspace
Id String - The ID of the workspace.
Outputs
All input properties are implicitly available as output properties. Additionally, the WorkspaceModel resource produces the following output properties:
- Id string
- The provider-assigned unique ID for this managed resource.
- Id string
- The provider-assigned unique ID for this managed resource.
- id String
- The provider-assigned unique ID for this managed resource.
- id string
- The provider-assigned unique ID for this managed resource.
- id str
- The provider-assigned unique ID for this managed resource.
- id String
- The provider-assigned unique ID for this managed resource.
Look up Existing WorkspaceModel Resource
Get an existing WorkspaceModel resource’s state with the given name, ID, and optional extra properties used to qualify the lookup.
public static get(name: string, id: Input<ID>, state?: WorkspaceModelState, opts?: CustomResourceOptions): WorkspaceModel
@staticmethod
def get(resource_name: str,
id: str,
opts: Optional[ResourceOptions] = None,
accessibility: Optional[str] = None,
domain: Optional[str] = None,
extra_info: Optional[Mapping[str, str]] = None,
labels: Optional[Sequence[WorkspaceModelLabelArgs]] = None,
model_description: Optional[str] = None,
model_doc: Optional[str] = None,
model_name: Optional[str] = None,
model_type: Optional[str] = None,
order_number: Optional[int] = None,
origin: Optional[str] = None,
task: Optional[str] = None,
workspace_id: Optional[str] = None) -> WorkspaceModel
func GetWorkspaceModel(ctx *Context, name string, id IDInput, state *WorkspaceModelState, opts ...ResourceOption) (*WorkspaceModel, error)
public static WorkspaceModel Get(string name, Input<string> id, WorkspaceModelState? state, CustomResourceOptions? opts = null)
public static WorkspaceModel get(String name, Output<String> id, WorkspaceModelState state, CustomResourceOptions options)
resources: _: type: alicloud:pai:WorkspaceModel get: id: ${id}
- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- resource_name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- Accessibility string
- The visibility of the model in the workspace. Default value:
PRIVATE
. Valid values:PRIVATE
: In this workspace, it is only visible to you and the administrator.PUBLIC
: In this workspace, it is visible to everyone.
- Domain string
- The domain of the model. Describe the domain in which the model solves the problem. For example: nlp (natural language processing), cv (computer vision), etc.
- Extra
Info Dictionary<string, string> - Other information about the model.
- Labels
List<Pulumi.
Ali Cloud. Pai. Inputs. Workspace Model Label> - A list of tags. See
labels
below. - Model
Description string - The model description, used to distinguish different models.
- Model
Doc string - The documentation of the model.
- Model
Name string - The name of the model. The name must be 1 to 127 characters in length.
- Model
Type string - The model type. Example: Checkpoint or LoRA.
- Order
Number int - The sequence number of the model. Can be used for custom sorting.
- Origin string
- The source of the model. The community or organization to which the source model belongs, such as ModelScope or HuggingFace.
- Task string
- The task of the model. Describes the specific problem that the model solves. Example: text-classification.
- Workspace
Id string - The ID of the workspace.
- Accessibility string
- The visibility of the model in the workspace. Default value:
PRIVATE
. Valid values:PRIVATE
: In this workspace, it is only visible to you and the administrator.PUBLIC
: In this workspace, it is visible to everyone.
- Domain string
- The domain of the model. Describe the domain in which the model solves the problem. For example: nlp (natural language processing), cv (computer vision), etc.
- Extra
Info map[string]string - Other information about the model.
- Labels
[]Workspace
Model Label Args - A list of tags. See
labels
below. - Model
Description string - The model description, used to distinguish different models.
- Model
Doc string - The documentation of the model.
- Model
Name string - The name of the model. The name must be 1 to 127 characters in length.
- Model
Type string - The model type. Example: Checkpoint or LoRA.
- Order
Number int - The sequence number of the model. Can be used for custom sorting.
- Origin string
- The source of the model. The community or organization to which the source model belongs, such as ModelScope or HuggingFace.
- Task string
- The task of the model. Describes the specific problem that the model solves. Example: text-classification.
- Workspace
Id string - The ID of the workspace.
- accessibility String
- The visibility of the model in the workspace. Default value:
PRIVATE
. Valid values:PRIVATE
: In this workspace, it is only visible to you and the administrator.PUBLIC
: In this workspace, it is visible to everyone.
- domain String
- The domain of the model. Describe the domain in which the model solves the problem. For example: nlp (natural language processing), cv (computer vision), etc.
- extra
Info Map<String,String> - Other information about the model.
- labels
List<Workspace
Model Label> - A list of tags. See
labels
below. - model
Description String - The model description, used to distinguish different models.
- model
Doc String - The documentation of the model.
- model
Name String - The name of the model. The name must be 1 to 127 characters in length.
- model
Type String - The model type. Example: Checkpoint or LoRA.
- order
Number Integer - The sequence number of the model. Can be used for custom sorting.
- origin String
- The source of the model. The community or organization to which the source model belongs, such as ModelScope or HuggingFace.
- task String
- The task of the model. Describes the specific problem that the model solves. Example: text-classification.
- workspace
Id String - The ID of the workspace.
- accessibility string
- The visibility of the model in the workspace. Default value:
PRIVATE
. Valid values:PRIVATE
: In this workspace, it is only visible to you and the administrator.PUBLIC
: In this workspace, it is visible to everyone.
- domain string
- The domain of the model. Describe the domain in which the model solves the problem. For example: nlp (natural language processing), cv (computer vision), etc.
- extra
Info {[key: string]: string} - Other information about the model.
- labels
Workspace
Model Label[] - A list of tags. See
labels
below. - model
Description string - The model description, used to distinguish different models.
- model
Doc string - The documentation of the model.
- model
Name string - The name of the model. The name must be 1 to 127 characters in length.
- model
Type string - The model type. Example: Checkpoint or LoRA.
- order
Number number - The sequence number of the model. Can be used for custom sorting.
- origin string
- The source of the model. The community or organization to which the source model belongs, such as ModelScope or HuggingFace.
- task string
- The task of the model. Describes the specific problem that the model solves. Example: text-classification.
- workspace
Id string - The ID of the workspace.
- accessibility str
- The visibility of the model in the workspace. Default value:
PRIVATE
. Valid values:PRIVATE
: In this workspace, it is only visible to you and the administrator.PUBLIC
: In this workspace, it is visible to everyone.
- domain str
- The domain of the model. Describe the domain in which the model solves the problem. For example: nlp (natural language processing), cv (computer vision), etc.
- extra_
info Mapping[str, str] - Other information about the model.
- labels
Sequence[Workspace
Model Label Args] - A list of tags. See
labels
below. - model_
description str - The model description, used to distinguish different models.
- model_
doc str - The documentation of the model.
- model_
name str - The name of the model. The name must be 1 to 127 characters in length.
- model_
type str - The model type. Example: Checkpoint or LoRA.
- order_
number int - The sequence number of the model. Can be used for custom sorting.
- origin str
- The source of the model. The community or organization to which the source model belongs, such as ModelScope or HuggingFace.
- task str
- The task of the model. Describes the specific problem that the model solves. Example: text-classification.
- workspace_
id str - The ID of the workspace.
- accessibility String
- The visibility of the model in the workspace. Default value:
PRIVATE
. Valid values:PRIVATE
: In this workspace, it is only visible to you and the administrator.PUBLIC
: In this workspace, it is visible to everyone.
- domain String
- The domain of the model. Describe the domain in which the model solves the problem. For example: nlp (natural language processing), cv (computer vision), etc.
- extra
Info Map<String> - Other information about the model.
- labels List<Property Map>
- A list of tags. See
labels
below. - model
Description String - The model description, used to distinguish different models.
- model
Doc String - The documentation of the model.
- model
Name String - The name of the model. The name must be 1 to 127 characters in length.
- model
Type String - The model type. Example: Checkpoint or LoRA.
- order
Number Number - The sequence number of the model. Can be used for custom sorting.
- origin String
- The source of the model. The community or organization to which the source model belongs, such as ModelScope or HuggingFace.
- task String
- The task of the model. Describes the specific problem that the model solves. Example: text-classification.
- workspace
Id String - The ID of the workspace.
Supporting Types
WorkspaceModelLabel, WorkspaceModelLabelArgs
Import
PAI Workspace Model can be imported using the id, e.g.
$ pulumi import alicloud:pai/workspaceModel:WorkspaceModel example <id>
To learn more about importing existing cloud resources, see Importing resources.
Package Details
- Repository
- Alibaba Cloud pulumi/pulumi-alicloud
- License
- Apache-2.0
- Notes
- This Pulumi package is based on the
alicloud
Terraform Provider.