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Add deployment to llm-complete #160

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@safoinme safoinme commented Dec 8, 2024

  • Introduced local_deployment pipeline for deploying models locally.
  • Added bento_deployment and bento_dockerizer steps for model containerization and deployment.
  • Created .env.local file for model configuration.
  • Updated rag_deployment and finetune_embeddings to include new parameters.
  • Added Kubernetes template for service and deployment configuration.

- Introduced local_deployment pipeline for deploying models locally.
- Added bento_deployment and bento_dockerizer steps for model containerization and deployment.
- Created .env.local file for model configuration.
- Updated rag_deployment and finetune_embeddings to include new parameters.
- Added Kubernetes template for service and deployment configuration.
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dagshub bot commented Dec 8, 2024

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is this a file that should be commited?

@@ -251,7 +259,8 @@ def main(
)()

elif pipeline == "deploy":
rag_deployment.with_options(model=zenml_model, **pipeline_args)()
#rag_deployment.with_options(model=zenml_model, **pipeline_args)()
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maybe make this configurable somehow through click args

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