Comments (1)
@andreyvelich:
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In response to this:
After this PR: #2075, we should update the
HuggingFaceTrainerParams
andtrainer_parameters
arguments intrain
API./good-first-issue
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Related Issues (20)
- Support MLX on Kubernetes with Kubeflow HOT 2
- Migrate to controller-runtime logger HOT 3
- Support CertManager for the Webhook cert generation HOT 1
- Unable to start elastic PyTorchJob example HOT 5
- Commonize webhook validations at the some points
- Update developer documentation for arm HOT 1
- Aunpun1.00 HOT 1
- Update pytorch launcher component in Kubeflow Pipelines repository HOT 2
- Update developer guide to handle missing training-operator-webhook-cert HOT 2
- Job Status is failed, when scale-in ps. HOT 4
- Failed K8s nodes leave jobs hanging indefinitely HOT 3
- [Question] Training Operator v1.8 Release Date HOT 1
- Why manifests/base/service.yaml does not include webhook server port (443) in version 1.7.0~1.5.0? HOT 7
- Not getting Kubeflow Training SDK v1.7 when installing `kubeflow-training` HOT 13
- Flaky Test: [It] should create desired Pods and Services: Distributed TFJob (4 workers, 2 PS) is succeeded
- MPIJob requires service names for the pods. HOT 3
- Add DeepSpeed Example with MPI Operator HOT 8
- chore(style): provide type for `STORAGE_INITIALIZER_VOLUME` constant
- fix(compatability): match-case syntax only compatible with Python3.10 HOT 5
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