Comments (1)
Fixed by #4173
from sagemaker-python-sdk.
Related Issues (20)
- Testing for SSRraymond
- JumpStart Uncompressed Format Causing AttributeError for JumpStart ID Local Container Mode HOT 1
- [HuggingFace] use default Hugging Face Inference DLC for non TGI models when using `ModelBuilder` HOT 1
- ModelBuilder tag is appending to user agent everytime build() is called
- ModelBuilder support for XGBoost container is impaired due to boto3 dependencies issues
- SageMaker/serve didn't bring the latest code for save handler
- Update fastapi dependency version > 0.100 for pydantic v2 support HOT 2
- Error running a pipeline with a Processing Job using a LocalSession HOT 11
- Not able to deploy Serverless Endpoint with requirements.txt HOT 7
- Support Tuning Step in Local Mode HOT 1
- Incompatible `tblib` version for Python 3.10
- Programmatic way to get available training/inference containers. HOT 1
- Output of function step is not compatible with `sagemaker.clarify.ModelConfig()` HOT 1
- Unknown parameter in PrimaryContainer: "ModelDataSource" with older boto version HOT 1
- Environment variables not passed when deploying Sagemaker Estimator HOT 1
- Tune Step with Script Mode Estimator won't start due to lacking MetricDefinition in Pipeline definition HOT 1
- Support for Hugginface multimodal models HOT 3
- Unable to deploy huggingface-llm 1.3.3 HOT 12
- Encrypting code artifact with SSE-S3 instead of SSE-KMS
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from sagemaker-python-sdk.