pinferencia VS polyaxon

Go visit: Pinferencia (underneathall.app) for detailed examples.

**Pinferencia** makes it super easy to serve any model with just three extra lines.

Hi, recently I'm writing some tutorials involving HuggingFace's models for my project Pinferencia.

Hi, I'm the creator of Pinferencia, recently I'm writer some tutorial involving HuggingFace's models.

If you haven't heard of Pinferencia go to its github page or its homepage to check it out, it's an amazing library help you deploy your model with ease.

Please allow me to recommend another simple but serious deployment tools which is also compatible with triton, torchserve, kubeflow, tf serving: Pinferencia

Never heard of Pinferencia? It’s not late. Go to its GitHub to take a look. Don’t forget to give it a star if you like it.

Check this out https://github.com/underneathall/pinferencia

If you're not concerned about self-hosting, WandB is one of the more fully featured training monitoring tools (I've used it in the past without any issues but the lack of data and training privacy and lack of self-hosting possibilities makes it a hard no for anything that isn't scholastic). Polyaxon is an alternative but rewriting all your variable logging to conform to their requirements makes it very difficult to switch to it in the middle of a project so you have to commit to it from the get-go.

We use Polyaxon and it’s pretty good

Disclosure - I'm the author of Polyaxon.

I just came across https://github.com/polyaxon/polyaxon because mlflow gives me a hard time and costs my company money by the day because it is not working as expected.

For running experiments, http://polyaxon.com/ is a really good free open-source package that has lots of nice integrations so you can quickly run experiments in k8s but it might be overkill in some cases.

Polyaxon : https://polyaxon.com