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So I'm building a class that can alternate between both the huggingface and sagemaker clients and I declare all my os.environs at the top of the class like so:
```
os.environ["AWS_ACCESS_KEY_ID"]…
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### Issues Policy acknowledgement
- [X] I have read and agree to submit bug reports in accordance with the [issues policy](https://www.github.com/mlflow/mlflow/blob/master/ISSUE_POLICY.md)
### Where…
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Hi
I'm trying to setup training (and hyperparameter tuning) using Amazon SageMaker.
Because SetFit is not a standard model on HugginFace I'm guessing that the examples provided in the HuggingFace…
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### What is the problem this feature will solve?
A lot of individuals and companies use SageMaker for model training and deployment, but often they are not experts in taking repositories like this on…
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### Willingness to contribute
Yes. I can contribute this feature independently.
### Proposal Summary
SageMaker JumpStart provides an easy way to deploy LLM endpoints on the SageMaker managed …
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## Willingness to contribute
- [ ] Yes. I can contribute this feature independently.
- [x] Yes. I would be willing to contribute this feature with guidance from the MLflow community.
- [ ] No. I ca…
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While deploying the model generated with the regression example, getting below error: (In this case, the model has been created, but getting error while deploying the model on sagemaker)
`MlflowExc…
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Trying to deploy a custom Word2Vec model that I've trained offline as a SageMaker endpoint. Followed the documentation - https://github.com/awslabs/amazon-sagemaker-examples/tree/master/advanced_funct…
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Checklist
- [x] I've prepended issue tag with type of change: [feature]
- [x] (If applicable) I've documented below the DLC image/dockerfile this relates to
- [x] (If applicable) I've documented th…
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### Willingness to contribute
Yes. I can contribute this feature independently.
### Proposal Summary
Hello,
I use `mlflow sagemaker build-and-push-container` to build and push an image that I de…