We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Hello 👋!
Where can I find documentation how to deploy https://huggingface.co/nvidia/quality-classifier-deberta to sagemaker ?
Previously I was using such cdk definition
const model = new sagemaker.CfnModel(this, "Model", { executionRoleArn: sagemakerRole.roleArn, primaryContainer: { image: "763104351884.dkr.ecr.eu-west-1.amazonaws.com/huggingface-pytorch-inference:2.0.0-transformers4.28.1-gpu-py310-cu118-ubuntu20.04", environment: { HF_MODEL_ID: "" HF_TASK: "" }, }, });
Also I need structure of input parameters for sagemaker to test ready endpoint. Is there any way to do so?
The text was updated successfully, but these errors were encountered:
No branches or pull requests
Hello 👋!
Where can I find documentation how to deploy https://huggingface.co/nvidia/quality-classifier-deberta to sagemaker ?
Previously I was using such cdk definition
Also I need structure of input parameters for sagemaker to test ready endpoint.
Is there any way to do so?
The text was updated successfully, but these errors were encountered: