Hi,

Followed the deploy on sagemaker SDK code giving.
import sagemaker
import boto3
from sagemaker.huggingface import HuggingFaceModel

try:
role = sagemaker.get_execution_role()
except ValueError:
iam = boto3.client('iam')
role = iam.get_role(RoleName='sagemaker_execution_role')['Role']['Arn']

Hub Model configuration. https://huggingface.co/models

hub = {
'HF_MODEL_ID':'llava-hf/llava-v1.6-34b-hf',
'HF_TASK':'image-text-to-text'
}

create Hugging Face Model Class

huggingface_model = HuggingFaceModel(
transformers_version='4.37.0',
pytorch_version='2.1.0',
py_version='py310',
env=hub,
role=role,
)

deploy model to SageMaker Inference

predictor = huggingface_model.deploy(
initial_instance_count=1, # number of instances
instance_type='ml.g4dn.12xlarge' # ec2 instance type
)

Endpoint deployed successfully (note I took a much larger ec2 instance). When I ret to call preidctor.predict I keep getting:
"message": "The checkpoint you are trying to load has model type llava_next but Transformers does not recognize this architecture. This could be because of an issue with the checkpoint, or because your version of Transformers is out of date."