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### Description
This argument has indirectly been deprecated by only accepting Amazon Elastic Inference type instances.
AWS consolidated the accelerator types in the `instance_type` argument where…
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**Link to the notebook**
[Example Notebook](https://github.com/aws/amazon-sagemaker-examples/blob/main/introduction_to_amazon_algorithms/jumpstart_semantic_segmentation/Amazon_JumpStart_Semantic_Segm…
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**Is your feature request related to a problem?**
There is no way to start or stop Sagemaker notebook instances via CR.
**Describe the solution you'd like**
```
apiVersion: sagemaker.service…
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## Description
I'm deploying meta-llama/Meta-Llama-3.1-70B-Instruct on a SageMaker endpoint:
- latest DJLServing container with Neuron support (0.29)
- ml.inf2.48xlarge instance.
Model downloa…
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There is no access to the server
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I'm using the evidently version 0.4.15 and have started exploring it for a ML monitoring usecase. I tried to launch the server on localhost:8000 which is same as ./proxy/8000/. The page turns out to b…
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### Product Category
Quickstart Solutions
### Question
Dera all
How are you ? hope all is pretty good !
How to make it at SageMaker Studio ? "As the first step, upload the Lab0 noteb…
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``` python
# sagemaker config
instance_type = "ml.g4dn.xlarge"
number_of_gpu = 1
health_check_timeout = 300
config = {
"HF_MODEL_ID": "unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit", # mode…
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Fails to load in SageMaker studio
In notebook instance, error in cell 8:
ClientError: An error occurred (ValidationException) when calling the DescribeModelPackage operation: ARN should be scope…
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### Terraform Core Version
1.9.0
### AWS Provider Version
5.58.0
### Affected Resource(s)
* aws_sagemaker_space
### Expected Behavior
After initially creating a space, I would like to be able t…