The above works for me, so if you try and the command line version does not work, there might be a bug. Please post the exact commands you use when you try it 🙂

That looks like a bug, would you mind copy pasting this into a github issue? 🙂 AgitatedDove14 is there something else this could be?

Great to hear! Then it comes down to waiting for the next hugging release!

ExasperatedCrocodile76 I have ran the example and even with my fix it is not ideal. The sample is relatively old now, so I'll revise it asap. Thank you for noticing it!

What might also help is to look inside the triton docker container while it's running. You can check the example, there should be a pbtxt file in there. Just to doublecheck that it is also in your own folder

Hi @<1540142651142049792:profile|BurlyHorse22> I think I know what is happening. So, ClearML does not support having dict keys by any other type than string. This is why I made these functions to cast the dict keys to string and back after we connect them to clearml.

What happens I think is that [id2label](https://github.com/thepycoder/sarcasm_detector/blob/dbbddec35...

I still have my tasks I ran remotely and they don't show any uncommitted changes. @<1540142651142049792:profile|BurlyHorse22> are you sure the remote machine is running transformers from the latest github branch, instead of from the package?

If it all looks fine, can you please install transformers from this repo (branch main) and rerun? It might be that not all my fixes came through

Ah I see 😄 I have submitted a ClearML patch to Huggingface transformers: None

It is merged, but not in a release yet. Would you mind checking if it works if you install transformers from github? (aka the latest master version)

Hi @<1546303293918023680:profile|MiniatureRobin9> !

Would you mind sending me a screenshot of the model page (incl the model path) both for the task you trained locally as well as the one you trained on the agent?

Ah I see. So then I would guess it is due to the remote machine (the clearml agent) not being able to properly access your clearml server

Hey! Thanks for all the work you're putting in and the awesome feedback 😄

So, it's weird you get the shm error, this is most likely our fault for not configuring the containers correctly 😞 The containers are brought up using the docker-compose file, so you'll have to add it in there. The service you want is called clearml-serving-triton , you can find it [here](https://github.com/allegroai/clearml-serving/blob/2d3ac1fe63637db1978df2b3f5ea4903ef59788a/docker/docker-...