OCI Data Science: how to to Access Model Artifact After Deployment
I'm having trouble accessing a model artifact after deploying it using the Oracle Cloud Infrastructure (OCI) Data Science service. I followed the steps to create a model deployment, but when I try to access the artifact in my Python code, I receive a `403 Forbidden` behavior. My model deployment was created with the following code: ```python import oci # Configuration config = oci.config.from_file() # Create a Data Science client data_science_client = oci.data_science.DataScienceClient(config) # Model deployment details model_deployment_id = 'your_model_deployment_id' # Attempting to get the model artifact response = data_science_client.get_model_deployment(model_deployment_id) print(response.data) ``` I've checked the following: 1. The IAM policies for my user group allow access to the model deployment resources, specifically `allow group your_group_name to manage model-deployments in compartment your_compartment_id`. 2. Verified that the model artifact exists in the specified compartment and is correctly referenced in the model deployment configuration. 3. Ensured that I am using the latest version of the OCI Python SDK (2.40.0). Despite this, the API call continues to return a `403 Forbidden` response. The behavior message indicates that my user does not have permission to perform this action, but I believe I’ve set up the necessary policies. Is there something I've overlooked in the setup or permissions? Any advice on how to troubleshoot and resolve this scenario would be greatly appreciated!