Ceyda Cinarel (재이다)

this is saving the custom `moo`, `boo` to the returned config, `config = MyClassificationConfig.from_pretrained("hf-internal-testing/config-no-model",boo="hoo")` but I still can't access the kwarg value I set inside the `__init__` to do some...

Also I'm a bit confused about the following behaviour (example): Even though the DinatConfig class doesn't take as a param `image_size` and thus doesn't do `self.image_size=image_size` anywhere if I pass...

> We would also like to rename transformer as there is always confusion with the "Transformer Model" from google's paper. I second this. An alternative maybe `processor` as it does...

this is still the case. Any reason why this image seems to be the only one not shown? I need it to build my own image and wanted to reference...

Thanks for the quick reply~ I see build.py is what is creating the Dockerfile. I had found https://github.com/triton-inference-server/server/blob/c7254d33270c547d54ec92c4b593bb9777da368b/docker/sagemaker/serve#L137 before & realized sagemaker was using `--allow-http=false`. so now I realize`--allow-sagemaker=true` was...

@brimoor Is it possible to use this feature for `fo.Segmentation` as well? Because my mask's values are based on the instance id number instead of class id. Example: My mask...

@brimoor glad to hear there are plans to add customizing colors for Segmentation. I have tried the format conversion code example you gave (which is a very useful conversion to...