ZenML recently added support for the use of Hugging Face as a model deployer. This issue would bring support for that into mlstacks through a stack component. The component would probably be quite simple, as all that needs to happen is to define the interfaces and the output as part of the stack.yaml file. This would allow the deployer to be seamlessly imported into core ZenML and used.
The update would include:
- the core implementation
- documentation updates for all cloud providers
- any testing needed (probably minimal for this one)
ZenML recently added support for the use of Hugging Face as a model deployer. This issue would bring support for that into mlstacks through a stack component. The component would probably be quite simple, as all that needs to happen is to define the interfaces and the output as part of the
stack.yamlfile. This would allow the deployer to be seamlessly imported into core ZenML and used.The update would include: