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Go through thisvideo andslide deck for full info.

Current available pipelines

1. classification
2. sentence encoding
3. translation(coming soon)
4. token classification
5. text generation
6. zero shot classification

• ability to run transformers without servers
• complete CI/CD
• concurrency upto 1000 (default AWS limit)

• clone the repo
• keep the pipeline folder you want to use
• modify the source and tests
• keep the corresponding github action in.github/workflows
• modify directory, registry and lambda function name in workflow
• create repository in AWS ECR
• update ECR path in the workflow
• set up secrets in repo (needed for access to AWS; this creds should have access to ECR and Lambda)
  • AWS_ACCESS_KEY_ID
  • AWS_SECRET_ACCESS_KEY
• push the code
• create PR
  • this will build the container
  • run all the tests
  • push container to ECR registry
  • update lambda with the new container (this will not happen when you push the first time)
• create lambda function if it does not exist
  • give appropriate IAM role
  • set timeout and RAM
• create API in API gateway and link to lambda

Done! Now you can call the lambda using the API