Alex Strick van Linschoten
Alex Strick van Linschoten
## Open Source Contributors Welcomed! Please comment below if you would like to work on this issue! ### Contact Details [Optional] [email protected] ### What happened? Currently, the mlstacks CLI lacks...
MLStacks currently supports only Kubernetes-based deployments for stacks, as indicated by [the `Stack.deployment_method` attribute](https://github.com/zenml-io/mlstacks/blob/992fff1f763f7d16f2847db232c83ed23c8f847c/src/mlstacks/models/stack.py#L47). This approach necessitates the deployment of a Kubernetes cluster for any stack, utilizing Helm or similar...
Added Ollama support ## Description I added support for Ollama which can now be used in conjunction with `spacy-llm`. I added all the models currently supported as well, but perhaps...
Added the third and final (for me, for now 😄) annotator integration (alongside https://github.com/zenml-io/zenml/pull/2655 and https://github.com/zenml-io/zenml/pull/2641), this time for Argilla. ![argilla_annotator](https://github.com/zenml-io/zenml/assets/3348134/ff9f4989-e0ce-41da-af24-48ba6a022f6b) This works both locally-deployed and when the annotation instance...
Implemented a new annotator: ![pigeon](https://github.com/zenml-io/zenml/assets/3348134/b2ba9988-a750-41bd-9579-de4fde8f6584) It only works within Jupyter notebooks and supports a limited feature set but is great for experimentation and demos. Labels get saved to a user-specified...
ZenML currently supports only [Label Studio](https://docs.zenml.io/stacks-and-components/component-guide/annotators/label-studio) as an [annotator stack component](https://docs.zenml.io/stacks-and-components/component-guide/annotators). The work for this issue would add the option to use [Argilla](https://github.com/argilla-io/argilla) as a second option for annotation. The...
- bumped langchain and openai to more recent versions
## Open Source Contributors Welcomed! Please comment below if you would like to work on this issue! ### Contact Details [Optional] [email protected] ## What happened? ZenML currently uses Python's `pickle`...
Not sure if it was intentional to set access to the remote state container with `container_access_type` as `container`. Seems like `private` would be a better setting. Terraform remote state contains...