Comments (5)
ellistarn
commented on May 10, 2024
Thanks Jin,
There is an outdated one in another repo that I've been meaning to update and port over here. I'll also add a link to the original design proposal.
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jinchihe
commented on May 10, 2024
@ellis-bigelow Sounds great! That's better to have a quick start steps in Readme or have a development guide I think. :-) Thanks.
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ellistarn
commented on May 10, 2024
Closing this. Dev guide is coming, but there's another issue for this.
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ellistarn
commented on May 10, 2024
/close
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k8s-ci-robot
commented on May 10, 2024
@ellis-bigelow: Closing this issue.
In response to this:
/close
Instructions for interacting with me using PR comments are available here. If you have questions or suggestions related to my behavior, please file an issue against the kubernetes/test-infra repository.
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Related Issues (20)
- [Solution] Ray Serve version compatibility issue: cannot import name 'RayServeHandle' from 'ray.serve.handle' HOT 8
- Move Inference Graph raw test to raw CI/CD workflow
- There is an invalid link in OPENSHIFT_GUIDE.md
- Support download huggingface models in storage initializer HOT 1
- Support .json and .ubj model format for XGBoost server image
- Closed HOT 7
- Transformers don't deploy with ModelMesh InferenceService in RawDeployment mode
- Add ability to InferenceGraph to passTrough custom annotations
- Support mlflow direct integration through storage initializer
- Support model revision and tokenizer revision in huggingface server
- Unified log format in KServe runtime application HOT 2
- Native integration with KEDA for LLM inference autoscaling HOT 4
- Huggingface server fails to start on OpenShift cluster HOT 3
- Go Coverage action is failing in CI HOT 2
- Use black to auto-format Python code
- Add option to skip postprocess in huggingface server HOT 1
- Support text embedding task in huggingface server HOT 1
- Add parameter in ModelMetadataResponse in v2 (aka open inference) protocol
- Allow remote code execution on huggingfaceserver HOT 2
- Old Revisions of Inference Service not Scaled Down HOT 1
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