Update README.md

README.md

@@ -10,37 +10,4 @@ tags:
 - art
 size_categories:
 - n>1T
----
-import sagemaker
-import boto3
-from sagemaker.huggingface import HuggingFace
-
-# gets role for executing training job
-iam_client = boto3.client('iam')
-role = iam_client.get_role(RoleName='{IAM_ROLE_WITH_SAGEMAKER_PERMISSIONS}')['Role']['Arn']
-hyperparameters = {
-	'model_name_or_path':'databricks/dolly-v2-12b',
-	'output_dir':'/opt/ml/model'
-	# add your remaining hyperparameters
-	# more info here https://github.com/huggingface/transformers/tree/v4.17.0/examples/pytorch/question-answering
-}
-
-# git configuration to download our fine-tuning script
-git_config = {'repo': 'https://github.com/huggingface/transformers.git','branch': 'v4.17.0'}
-
-# creates Hugging Face estimator
-huggingface_estimator = HuggingFace(
-	entry_point='run_qa.py',
-	source_dir='./examples/pytorch/question-answering',
-	instance_type='ml.p3.2xlarge',
-	instance_count=1,
-	role=role,
-	git_config=git_config,
-	transformers_version='4.17.0',
-	pytorch_version='1.10.2',
-	py_version='py38',
-	hyperparameters = hyperparameters
-)
-
-# starting the train job
-huggingface_estimator.fit()
+---