The idea behind model cards is to increase transparency about the design, testing, and application of machine learning models. A model card is a concise document that can be understood not just by other data scientists or scientists in your specific domain, but also the general public, decision and policy-makers.
I'd like to try and create a model card for our HLS SCA model to test how how the idea and format might work for our sorts of remote sensing (or geoscience in general) machine learning models. I've added a placeholder file for a model card which has a description of what this file is for.
We can start with the Model Cards Writing Tool from Hugging Face community. As we go through the process we might get ideas for specific things to include (or exclude if not applicable) for the types of models we might typically use.
Other resources to reference:
The idea behind model cards is to increase transparency about the design, testing, and application of machine learning models. A model card is a concise document that can be understood not just by other data scientists or scientists in your specific domain, but also the general public, decision and policy-makers.
I'd like to try and create a model card for our HLS SCA model to test how how the idea and format might work for our sorts of remote sensing (or geoscience in general) machine learning models. I've added a placeholder file for a model card which has a description of what this file is for.
We can start with the Model Cards Writing Tool from Hugging Face community. As we go through the process we might get ideas for specific things to include (or exclude if not applicable) for the types of models we might typically use.
Other resources to reference: