All Content tagged with AWS Deep Learning Containers
AWS Deep Learning Containers (AWS DL Containers) are Docker images pre-installed with deep learning frameworks to make it easy to deploy custom machine learning (ML) environments quickly by letting you skip the complicated process of building and optimizing your environments from scratch.
Content language: English
Select up to 5 tags to filter
Sort by most recent
15 results
EXPERT
published 3 months ago1 votes2330 views
After fine-tuning a DistilBERT model and saving it as 'model.pth', and creating an 'inference.py' script, I packaged both into a '.tar.gz' file. Upon deploying it, an endpoint was successfully...
Could you please explain in detail with example ?
Why we need the generative AI?
asked 8 months ago
Hi,
As part of ongoing development in our project, we hire designers to design UX/UI for Mobile Apps.
Hence in this context, can we have Bot(training engine) arranged so that we can train and use for...
I'm running some experiments which requires transformer version greater than 4.17. to upgrade to latest , can i simply install newer version in my own container ?
Dockerfile
```
FROM...
We are fine-tuning stable diffusion model on a custom dataset and looking for the DreamBooth approach for training on Sagemaker. Is it possible on Sagemaker. if yes then can you give me some links or...
When I have a look at https://github.com/aws/deep-learning-containers/blob/master/available_images.md I get many different deep learning containers with an example URL, for instance,...
I am deploying a Triton server endpoint on Sagemaker and I want to ssh into the instance where the endpoint is running for debugging purposes. I can't find a way to identify the instance (e.g. find...
Hi, with the release of EKS 1.23 and 1.24 we are moving ever closer to the full removal of the PodSecurityPolicy. To replace this the PodSecurity admission controller has been graduated to the beta...
Hello,
I've been trying to deploy multiple PyTorch models on one endpoint on SageMaker from a SageMaker Notebook. First I tested deployment of single models on single endpoints, to check if everything...
Hey all,
I am trying to run the script below in the writefile titled "vw_aws_a_bijlageprofile.py". This code has worked for me using other data sources, but now I am getting the following error...
I have an issue while getting Catboost image URI. It is a function for generating ECR image URIs for pre-built SageMaker Docker images. Here is my code catboost_container =...