Docs Packages
  1. Packages
  2. Google Cloud Native
  3. API Docs
  4. firebaseml
  5. firebaseml/v1beta2
  6. Model

Google Cloud Native is in preview. Google Cloud Classic is fully supported.

Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi
pulumi/pulumi-google-native

google-native.firebaseml/v1beta2.Model

Explore with Pulumi AI

google-native logo

Google Cloud Native is in preview. Google Cloud Classic is fully supported.

Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi
pulumi/pulumi-google-native

    Creates a model in Firebase ML. The longrunning operation will eventually return a Model

    Create Model Resource

    Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.

    Constructor syntax

    new Model(name: string, args: ModelArgs, opts?: CustomResourceOptions);
    @overload
def Model(resource_name: str,
          args: ModelArgs,
          opts: Optional[ResourceOptions] = None)

@overload
def Model(resource_name: str,
          opts: Optional[ResourceOptions] = None,
          display_name: Optional[str] = None,
          name: Optional[str] = None,
          project: Optional[str] = None,
          state: Optional[ModelStateArgs] = None,
          tags: Optional[Sequence[str]] = None,
          tflite_model: Optional[TfLiteModelArgs] = None)
    func NewModel(ctx *Context, name string, args ModelArgs, opts ...ResourceOption) (*Model, error)
    public Model(string name, ModelArgs args, CustomResourceOptions? opts = null)
    public Model(String name, ModelArgs args)
public Model(String name, ModelArgs args, CustomResourceOptions options)

    type: google-native:firebaseml/v1beta2:Model
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 ModelArgs
    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 ModelArgs
    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 ModelArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args ModelArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args ModelArgs
    The arguments to resource properties.
    options CustomResourceOptions
    Bag of options to control resource's behavior.

    Example

    The following reference example uses placeholder values for all input properties.

    var modelResource = new GoogleNative.FirebaseML.V1Beta2.Model("modelResource", new()
{
    DisplayName = "string",
    Name = "string",
    Project = "string",
    State = new GoogleNative.FirebaseML.V1Beta2.Inputs.ModelStateArgs
    {
        Published = false,
    },
    Tags = new[]
    {
        "string",
    },
    TfliteModel = new GoogleNative.FirebaseML.V1Beta2.Inputs.TfLiteModelArgs
    {
        AutomlModel = "string",
        GcsTfliteUri = "string",
    },
});

    example, err := firebaseml.NewModel(ctx, "modelResource", &firebaseml.ModelArgs{
DisplayName: pulumi.String("string"),
Name: pulumi.String("string"),
Project: pulumi.String("string"),
State: &firebaseml.ModelStateTypeArgs{
Published: pulumi.Bool(false),
},
Tags: pulumi.StringArray{
pulumi.String("string"),
},
TfliteModel: &firebaseml.TfLiteModelArgs{
AutomlModel: pulumi.String("string"),
GcsTfliteUri: pulumi.String("string"),
},
})

    var modelResource = new Model("modelResource", ModelArgs.builder()        
    .displayName("string")
    .name("string")
    .project("string")
    .state(ModelStateArgs.builder()
        .published(false)
        .build())
    .tags("string")
    .tfliteModel(TfLiteModelArgs.builder()
        .automlModel("string")
        .gcsTfliteUri("string")
        .build())
    .build());

    model_resource = google_native.firebaseml.v1beta2.Model("modelResource",
    display_name="string",
    name="string",
    project="string",
    state=google_native.firebaseml.v1beta2.ModelStateArgs(
        published=False,
    ),
    tags=["string"],
    tflite_model=google_native.firebaseml.v1beta2.TfLiteModelArgs(
        automl_model="string",
        gcs_tflite_uri="string",
    ))

    const modelResource = new google_native.firebaseml.v1beta2.Model("modelResource", {
    displayName: "string",
    name: "string",
    project: "string",
    state: {
        published: false,
    },
    tags: ["string"],
    tfliteModel: {
        automlModel: "string",
        gcsTfliteUri: "string",
    },
});

    type: google-native:firebaseml/v1beta2:Model
properties:
    displayName: string
    name: string
    project: string
    state:
        published: false
    tags:
        - string
    tfliteModel:
        automlModel: string
        gcsTfliteUri: string

    Model Resource Properties

    To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.

    Inputs

    The Model resource accepts the following input properties:

    DisplayName string
    The name of the model to create. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores(_) and ASCII digits 0-9. It must start with a letter.
    Name string
    The resource name of the Model. Model names have the form projects/{project_id}/models/{model_id} The name is ignored when creating a model.
    Project string
    State Pulumi.GoogleNative.FirebaseML.V1Beta2.Inputs.ModelState
    State common to all model types. Includes publishing and validation information.
    Tags List<string>
    User defined tags which can be used to group/filter models during listing
    TfliteModel Pulumi.GoogleNative.FirebaseML.V1Beta2.Inputs.TfLiteModel
    A TFLite Model
    DisplayName string
    The name of the model to create. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores(_) and ASCII digits 0-9. It must start with a letter.
    Name string
    The resource name of the Model. Model names have the form projects/{project_id}/models/{model_id} The name is ignored when creating a model.
    Project string
    State ModelStateTypeArgs
    State common to all model types. Includes publishing and validation information.
    Tags []string
    User defined tags which can be used to group/filter models during listing
    TfliteModel TfLiteModelArgs
    A TFLite Model
    displayName String
    The name of the model to create. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores(_) and ASCII digits 0-9. It must start with a letter.
    name String
    The resource name of the Model. Model names have the form projects/{project_id}/models/{model_id} The name is ignored when creating a model.
    project String
    state ModelState
    State common to all model types. Includes publishing and validation information.
    tags List<String>
    User defined tags which can be used to group/filter models during listing
    tfliteModel TfLiteModel
    A TFLite Model
    displayName string
    The name of the model to create. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores(_) and ASCII digits 0-9. It must start with a letter.
    name string
    The resource name of the Model. Model names have the form projects/{project_id}/models/{model_id} The name is ignored when creating a model.
    project string
    state ModelState
    State common to all model types. Includes publishing and validation information.
    tags string[]
    User defined tags which can be used to group/filter models during listing
    tfliteModel TfLiteModel
    A TFLite Model
    display_name str
    The name of the model to create. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores(_) and ASCII digits 0-9. It must start with a letter.
    name str
    The resource name of the Model. Model names have the form projects/{project_id}/models/{model_id} The name is ignored when creating a model.
    project str
    state ModelStateArgs
    State common to all model types. Includes publishing and validation information.
    tags Sequence[str]
    User defined tags which can be used to group/filter models during listing
    tflite_model TfLiteModelArgs
    A TFLite Model
    displayName String
    The name of the model to create. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores(_) and ASCII digits 0-9. It must start with a letter.
    name String
    The resource name of the Model. Model names have the form projects/{project_id}/models/{model_id} The name is ignored when creating a model.
    project String
    state Property Map
    State common to all model types. Includes publishing and validation information.
    tags List<String>
    User defined tags which can be used to group/filter models during listing
    tfliteModel Property Map
    A TFLite Model

    Outputs

    All input properties are implicitly available as output properties. Additionally, the Model resource produces the following output properties:

    ActiveOperations List<Pulumi.GoogleNative.FirebaseML.V1Beta2.Outputs.OperationResponse>
    Lists operation ids associated with this model whose status is NOT done.
    CreateTime string
    Timestamp when this model was created in Firebase ML.
    Etag string
    See RFC7232 https://tools.ietf.org/html/rfc7232#section-2.3
    Id string
    The provider-assigned unique ID for this managed resource.
    ModelHash string
    The model_hash will change if a new file is available for download.
    UpdateTime string
    Timestamp when this model was updated in Firebase ML.
    ActiveOperations []OperationResponse
    Lists operation ids associated with this model whose status is NOT done.
    CreateTime string
    Timestamp when this model was created in Firebase ML.
    Etag string
    See RFC7232 https://tools.ietf.org/html/rfc7232#section-2.3
    Id string
    The provider-assigned unique ID for this managed resource.
    ModelHash string
    The model_hash will change if a new file is available for download.
    UpdateTime string
    Timestamp when this model was updated in Firebase ML.
    activeOperations List<OperationResponse>
    Lists operation ids associated with this model whose status is NOT done.
    createTime String
    Timestamp when this model was created in Firebase ML.
    etag String
    See RFC7232 https://tools.ietf.org/html/rfc7232#section-2.3
    id String
    The provider-assigned unique ID for this managed resource.
    modelHash String
    The model_hash will change if a new file is available for download.
    updateTime String
    Timestamp when this model was updated in Firebase ML.
    activeOperations OperationResponse[]
    Lists operation ids associated with this model whose status is NOT done.
    createTime string
    Timestamp when this model was created in Firebase ML.
    etag string
    See RFC7232 https://tools.ietf.org/html/rfc7232#section-2.3
    id string
    The provider-assigned unique ID for this managed resource.
    modelHash string
    The model_hash will change if a new file is available for download.
    updateTime string
    Timestamp when this model was updated in Firebase ML.
    active_operations Sequence[OperationResponse]
    Lists operation ids associated with this model whose status is NOT done.
    create_time str
    Timestamp when this model was created in Firebase ML.
    etag str
    See RFC7232 https://tools.ietf.org/html/rfc7232#section-2.3
    id str
    The provider-assigned unique ID for this managed resource.
    model_hash str
    The model_hash will change if a new file is available for download.
    update_time str
    Timestamp when this model was updated in Firebase ML.
    activeOperations List<Property Map>
    Lists operation ids associated with this model whose status is NOT done.
    createTime String
    Timestamp when this model was created in Firebase ML.
    etag String
    See RFC7232 https://tools.ietf.org/html/rfc7232#section-2.3
    id String
    The provider-assigned unique ID for this managed resource.
    modelHash String
    The model_hash will change if a new file is available for download.
    updateTime String
    Timestamp when this model was updated in Firebase ML.

    Supporting Types

    ModelState, ModelStateArgs

    Published bool
    Indicates if this model has been published.
    Published bool
    Indicates if this model has been published.
    published Boolean
    Indicates if this model has been published.
    published boolean
    Indicates if this model has been published.
    published bool
    Indicates if this model has been published.
    published Boolean
    Indicates if this model has been published.

    ModelStateResponse, ModelStateResponseArgs

    Published bool
    Indicates if this model has been published.
    ValidationError Pulumi.GoogleNative.FirebaseML.V1Beta2.Inputs.StatusResponse
    Indicates the latest validation error on the model if any. A model may have validation errors if there were problems during the model creation/update. e.g. in the case of a TfLiteModel, if a tflite model file was missing or in the wrong format. This field will be empty for valid models.
    Published bool
    Indicates if this model has been published.
    ValidationError StatusResponse
    Indicates the latest validation error on the model if any. A model may have validation errors if there were problems during the model creation/update. e.g. in the case of a TfLiteModel, if a tflite model file was missing or in the wrong format. This field will be empty for valid models.
    published Boolean
    Indicates if this model has been published.
    validationError StatusResponse
    Indicates the latest validation error on the model if any. A model may have validation errors if there were problems during the model creation/update. e.g. in the case of a TfLiteModel, if a tflite model file was missing or in the wrong format. This field will be empty for valid models.
    published boolean
    Indicates if this model has been published.
    validationError StatusResponse
    Indicates the latest validation error on the model if any. A model may have validation errors if there were problems during the model creation/update. e.g. in the case of a TfLiteModel, if a tflite model file was missing or in the wrong format. This field will be empty for valid models.
    published bool
    Indicates if this model has been published.
    validation_error StatusResponse
    Indicates the latest validation error on the model if any. A model may have validation errors if there were problems during the model creation/update. e.g. in the case of a TfLiteModel, if a tflite model file was missing or in the wrong format. This field will be empty for valid models.
    published Boolean
    Indicates if this model has been published.
    validationError Property Map
    Indicates the latest validation error on the model if any. A model may have validation errors if there were problems during the model creation/update. e.g. in the case of a TfLiteModel, if a tflite model file was missing or in the wrong format. This field will be empty for valid models.

    OperationResponse, OperationResponseArgs

    Done bool
    If the value is false, it means the operation is still in progress. If true, the operation is completed, and either error or response is available.
    Error Pulumi.GoogleNative.FirebaseML.V1Beta2.Inputs.StatusResponse
    The error result of the operation in case of failure or cancellation.
    Metadata Dictionary<string, string>
    Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
    Name string
    The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the name should be a resource name ending with operations/{unique_id}.
    Response Dictionary<string, string>
    The normal, successful response of the operation. If the original method returns no data on success, such as Delete, the response is google.protobuf.Empty. If the original method is standard Get/Create/Update, the response should be the resource. For other methods, the response should have the type XxxResponse, where Xxx is the original method name. For example, if the original method name is TakeSnapshot(), the inferred response type is TakeSnapshotResponse.
    Done bool
    If the value is false, it means the operation is still in progress. If true, the operation is completed, and either error or response is available.
    Error StatusResponse
    The error result of the operation in case of failure or cancellation.
    Metadata map[string]string
    Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
    Name string
    The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the name should be a resource name ending with operations/{unique_id}.
    Response map[string]string
    The normal, successful response of the operation. If the original method returns no data on success, such as Delete, the response is google.protobuf.Empty. If the original method is standard Get/Create/Update, the response should be the resource. For other methods, the response should have the type XxxResponse, where Xxx is the original method name. For example, if the original method name is TakeSnapshot(), the inferred response type is TakeSnapshotResponse.
    done Boolean
    If the value is false, it means the operation is still in progress. If true, the operation is completed, and either error or response is available.
    error StatusResponse
    The error result of the operation in case of failure or cancellation.
    metadata Map<String,String>
    Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
    name String
    The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the name should be a resource name ending with operations/{unique_id}.
    response Map<String,String>
    The normal, successful response of the operation. If the original method returns no data on success, such as Delete, the response is google.protobuf.Empty. If the original method is standard Get/Create/Update, the response should be the resource. For other methods, the response should have the type XxxResponse, where Xxx is the original method name. For example, if the original method name is TakeSnapshot(), the inferred response type is TakeSnapshotResponse.
    done boolean
    If the value is false, it means the operation is still in progress. If true, the operation is completed, and either error or response is available.
    error StatusResponse
    The error result of the operation in case of failure or cancellation.
    metadata {[key: string]: string}
    Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
    name string
    The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the name should be a resource name ending with operations/{unique_id}.
    response {[key: string]: string}
    The normal, successful response of the operation. If the original method returns no data on success, such as Delete, the response is google.protobuf.Empty. If the original method is standard Get/Create/Update, the response should be the resource. For other methods, the response should have the type XxxResponse, where Xxx is the original method name. For example, if the original method name is TakeSnapshot(), the inferred response type is TakeSnapshotResponse.
    done bool
    If the value is false, it means the operation is still in progress. If true, the operation is completed, and either error or response is available.
    error StatusResponse
    The error result of the operation in case of failure or cancellation.
    metadata Mapping[str, str]
    Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
    name str
    The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the name should be a resource name ending with operations/{unique_id}.
    response Mapping[str, str]
    The normal, successful response of the operation. If the original method returns no data on success, such as Delete, the response is google.protobuf.Empty. If the original method is standard Get/Create/Update, the response should be the resource. For other methods, the response should have the type XxxResponse, where Xxx is the original method name. For example, if the original method name is TakeSnapshot(), the inferred response type is TakeSnapshotResponse.
    done Boolean
    If the value is false, it means the operation is still in progress. If true, the operation is completed, and either error or response is available.
    error Property Map
    The error result of the operation in case of failure or cancellation.
    metadata Map<String>
    Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
    name String
    The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the name should be a resource name ending with operations/{unique_id}.
    response Map<String>
    The normal, successful response of the operation. If the original method returns no data on success, such as Delete, the response is google.protobuf.Empty. If the original method is standard Get/Create/Update, the response should be the resource. For other methods, the response should have the type XxxResponse, where Xxx is the original method name. For example, if the original method name is TakeSnapshot(), the inferred response type is TakeSnapshotResponse.

    StatusResponse, StatusResponseArgs

    Code int
    The status code, which should be an enum value of google.rpc.Code.
    Details List<ImmutableDictionary<string, string>>
    A list of messages that carry the error details. There is a common set of message types for APIs to use.
    Message string
    A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
    Code int
    The status code, which should be an enum value of google.rpc.Code.
    Details []map[string]string
    A list of messages that carry the error details. There is a common set of message types for APIs to use.
    Message string
    A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
    code Integer
    The status code, which should be an enum value of google.rpc.Code.
    details List<Map<String,String>>
    A list of messages that carry the error details. There is a common set of message types for APIs to use.
    message String
    A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
    code number
    The status code, which should be an enum value of google.rpc.Code.
    details {[key: string]: string}[]
    A list of messages that carry the error details. There is a common set of message types for APIs to use.
    message string
    A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
    code int
    The status code, which should be an enum value of google.rpc.Code.
    details Sequence[Mapping[str, str]]
    A list of messages that carry the error details. There is a common set of message types for APIs to use.
    message str
    A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
    code Number
    The status code, which should be an enum value of google.rpc.Code.
    details List<Map<String>>
    A list of messages that carry the error details. There is a common set of message types for APIs to use.
    message String
    A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.

    TfLiteModel, TfLiteModelArgs

    AutomlModel string
    The AutoML model id referencing a model you created with the AutoML API. The name should have format 'projects//locations//models/' (This is the model resource name returned from the AutoML API)
    GcsTfliteUri string
    The TfLite file containing the model. (Stored in Google Cloud). The gcs_tflite_uri should have form: gs://some-bucket/some-model.tflite Note: If you update the file in the original location, it is necessary to call UpdateModel for ML to pick up and validate the updated file.
    AutomlModel string
    The AutoML model id referencing a model you created with the AutoML API. The name should have format 'projects//locations//models/' (This is the model resource name returned from the AutoML API)
    GcsTfliteUri string
    The TfLite file containing the model. (Stored in Google Cloud). The gcs_tflite_uri should have form: gs://some-bucket/some-model.tflite Note: If you update the file in the original location, it is necessary to call UpdateModel for ML to pick up and validate the updated file.
    automlModel String
    The AutoML model id referencing a model you created with the AutoML API. The name should have format 'projects//locations//models/' (This is the model resource name returned from the AutoML API)
    gcsTfliteUri String
    The TfLite file containing the model. (Stored in Google Cloud). The gcs_tflite_uri should have form: gs://some-bucket/some-model.tflite Note: If you update the file in the original location, it is necessary to call UpdateModel for ML to pick up and validate the updated file.
    automlModel string
    The AutoML model id referencing a model you created with the AutoML API. The name should have format 'projects//locations//models/' (This is the model resource name returned from the AutoML API)
    gcsTfliteUri string
    The TfLite file containing the model. (Stored in Google Cloud). The gcs_tflite_uri should have form: gs://some-bucket/some-model.tflite Note: If you update the file in the original location, it is necessary to call UpdateModel for ML to pick up and validate the updated file.
    automl_model str
    The AutoML model id referencing a model you created with the AutoML API. The name should have format 'projects//locations//models/' (This is the model resource name returned from the AutoML API)
    gcs_tflite_uri str
    The TfLite file containing the model. (Stored in Google Cloud). The gcs_tflite_uri should have form: gs://some-bucket/some-model.tflite Note: If you update the file in the original location, it is necessary to call UpdateModel for ML to pick up and validate the updated file.
    automlModel String
    The AutoML model id referencing a model you created with the AutoML API. The name should have format 'projects//locations//models/' (This is the model resource name returned from the AutoML API)
    gcsTfliteUri String
    The TfLite file containing the model. (Stored in Google Cloud). The gcs_tflite_uri should have form: gs://some-bucket/some-model.tflite Note: If you update the file in the original location, it is necessary to call UpdateModel for ML to pick up and validate the updated file.

    TfLiteModelResponse, TfLiteModelResponseArgs

    AutomlModel string
    The AutoML model id referencing a model you created with the AutoML API. The name should have format 'projects//locations//models/' (This is the model resource name returned from the AutoML API)
    GcsTfliteUri string
    The TfLite file containing the model. (Stored in Google Cloud). The gcs_tflite_uri should have form: gs://some-bucket/some-model.tflite Note: If you update the file in the original location, it is necessary to call UpdateModel for ML to pick up and validate the updated file.
    SizeBytes string
    The size of the TFLite model
    AutomlModel string
    The AutoML model id referencing a model you created with the AutoML API. The name should have format 'projects//locations//models/' (This is the model resource name returned from the AutoML API)
    GcsTfliteUri string
    The TfLite file containing the model. (Stored in Google Cloud). The gcs_tflite_uri should have form: gs://some-bucket/some-model.tflite Note: If you update the file in the original location, it is necessary to call UpdateModel for ML to pick up and validate the updated file.
    SizeBytes string
    The size of the TFLite model
    automlModel String
    The AutoML model id referencing a model you created with the AutoML API. The name should have format 'projects//locations//models/' (This is the model resource name returned from the AutoML API)
    gcsTfliteUri String
    The TfLite file containing the model. (Stored in Google Cloud). The gcs_tflite_uri should have form: gs://some-bucket/some-model.tflite Note: If you update the file in the original location, it is necessary to call UpdateModel for ML to pick up and validate the updated file.
    sizeBytes String
    The size of the TFLite model
    automlModel string
    The AutoML model id referencing a model you created with the AutoML API. The name should have format 'projects//locations//models/' (This is the model resource name returned from the AutoML API)
    gcsTfliteUri string
    The TfLite file containing the model. (Stored in Google Cloud). The gcs_tflite_uri should have form: gs://some-bucket/some-model.tflite Note: If you update the file in the original location, it is necessary to call UpdateModel for ML to pick up and validate the updated file.
    sizeBytes string
    The size of the TFLite model
    automl_model str
    The AutoML model id referencing a model you created with the AutoML API. The name should have format 'projects//locations//models/' (This is the model resource name returned from the AutoML API)
    gcs_tflite_uri str
    The TfLite file containing the model. (Stored in Google Cloud). The gcs_tflite_uri should have form: gs://some-bucket/some-model.tflite Note: If you update the file in the original location, it is necessary to call UpdateModel for ML to pick up and validate the updated file.
    size_bytes str
    The size of the TFLite model
    automlModel String
    The AutoML model id referencing a model you created with the AutoML API. The name should have format 'projects//locations//models/' (This is the model resource name returned from the AutoML API)
    gcsTfliteUri String
    The TfLite file containing the model. (Stored in Google Cloud). The gcs_tflite_uri should have form: gs://some-bucket/some-model.tflite Note: If you update the file in the original location, it is necessary to call UpdateModel for ML to pick up and validate the updated file.
    sizeBytes String
    The size of the TFLite model

    Package Details

    Repository
    Google Cloud Native pulumi/pulumi-google-native
    License
    Apache-2.0
    google-native logo

    Google Cloud Native is in preview. Google Cloud Classic is fully supported.

    Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi
    pulumi/pulumi-google-native