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VertexAI Model-Registry
& Model-Deployer
#3161
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- Update model source URI retrieval in VertexAIModelRegistry. - Enhance BaseModelDeployer to check and start inactive services. - Set default replica counts to 1 and sync to False in VertexBaseConfig. - Rename and update documentation for deployment service creation in VertexModelDeployer.
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Left initial thoughts. Also should we add these to the 1-stack deployment of the GCP full stack endpoint?
src/zenml/integrations/gcp/flavors/vertex_model_deployer_flavor.py
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src/zenml/integrations/gcp/model_registries/vertex_model_registry.py
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LLM Finetuning template updates in |
Classification template updates in |
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E2E template updates in |
NLP template updates in |
LLM Finetuning template updates in |
Classification template updates in |
E2E template updates in |
NLP template updates in |
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@@ -62,14 +63,24 @@ class ModelRegistryModelMetadata(BaseModel): | |||
model and its development process. | |||
""" | |||
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zenml_version: Optional[str] = None | |||
_managed_by: str = "zenml" |
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Neither this field nor its associated property are actually used anywhere. Is there something missing ?
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It will return this as a set of key-value when ModelRegistryModelMetadata
object is called
LLM Finetuning template updates in |
Describe changes
TODO
Pre-requisites
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and the open PR is targetingdevelop
. If your branch wasn't based on develop read Contribution guide on rebasing branch to develop.Types of changes