Create model on Sagemaker

Create model on Sagemaker AI

1. Access Sagemaker AI
   • Select Inference
   • Select Models
   • Select Create Model

2. Fill in the model configurations
   • Model name distilbert-sst2
   • IAM role: abcxyz (create an IAM role with sufficient permissions)

3. Continue scrolling down and fill in

   • Location of inference code image

   763104351884.dkr.ecr.ap-southeast-1.amazonaws.com/huggingface-pytorch-inference:1.13.1-transformers4.26.0-cpu-py39-ubuntu20.04
   

   • Location of model artifacts

   s3://glutisify-datalake/models/distilbert-sst2/model.tar.gz
   

   • Environment variables in the model:

   Key	Value
   HF_TASK	text-classification
   SAGEMAKER_PROGRAM	inference.py
   SAGEMAKER_SUBMIT_DIRECTORY	/opt/ml/model/code
   SAGEMAKER_CONTAINER_LOG_LEVEL	20
   SAGEMAKER_REGION	ap-southeast-1

4. Scroll to the bottom
   • Leave the remaining configurations as default
   • Select Create