michaelfeil

/

ct2fast-flan-ul2

like 7

Hi,

I am trying to deploy the model in Sagemaker . Used the code as it is from Deploy -> Amazon Sagemaker

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':'michaelfeil/ct2fast-flan-ul2',
    'HF_TASK':'undefined'
}

# create Hugging Face Model Class
huggingface_model = HuggingFaceModel(
    transformers_version='4.26.0',
    pytorch_version='1.13.1',
    py_version='py39',
    env=hub,
    role=role, 
)

# deploy model to SageMaker Inference
predictor = huggingface_model.deploy(
    initial_instance_count=1, # number of instances
    instance_type='ml.m5.xlarge' # ec2 instance type
)

I get this error - Should have a model_type key in its config.json, or contain one of the following strings in its name.

Any suggestions to fix will be appreciated.
Thanks !