Save/Load Tensorflow & sklearn pipelines from local and AWS S3

from pathlib import Path
path = Path(<local path>)

# WRITE
with path.open("wb") as f:
    joblib.dump(model, f)

# READ
with path.open("rb") as f:
    f.seek(0)
    model = joblib.load(f)

import tempfile
import boto3
import joblib

s3_client = boto3.client('s3')
bucket_name = "my-bucket"
key = "model.pkl"

# WRITE
with tempfile.TemporaryFile() as fp:
    joblib.dump(model, fp)
    fp.seek(0)
    s3_client.put_object(Body=fp.read(), Bucket=bucket_name, Key=key)

# READ
with tempfile.TemporaryFile() as fp:
    s3_client.download_fileobj(Fileobj=fp, Bucket=bucket_name, Key=key)
    fp.seek(0)
    model = joblib.load(fp)

# DELETE
s3_client.delete_object(Bucket=bucket_name, Key=key)