Share Your Object Detection Model On Hugging Face!

Hi guys! It's Niels from the open-source team at Hugging Face, and I'm super stoked to dive into this exciting discussion about unified category-level object detection and pose estimation models. Recently, I stumbled upon Fischer-Tom's awesome work on Arxiv and couldn't wait to reach out. The potential of this research is huge, and I believe it deserves all the spotlight it can get!

Boosting Discoverability on Hugging Face

One of the things we're passionate about at Hugging Face is making groundbreaking research accessible to everyone. That's why I wanted to chat with Fischer-Tom about the possibility of submitting their work to our hf.co/papers platform. Think of it as a dedicated space to showcase cutting-edge papers and foster discussions within the community.

Submitting your paper to Hugging Face Papers has some cool perks. First off, it seriously boosts the discoverability of your research. People can easily find and discuss your work, which is awesome for getting feedback and sparking collaborations. Plus, the paper page acts as a central hub for all things related to your research. You can link to your models, datasets, and even demos, making it super convenient for others to explore your work in detail.

For the authors out there, claiming your paper on Hugging Face adds it to your public profile. This is a fantastic way to showcase your contributions and connect with other researchers in your field. You can also add links to your GitHub repository and project pages, making it a one-stop-shop for all things related to your research.

Hosting Your Model on Hugging Face: Unleash the Power of Collaboration

Now, let's talk about models! We all know that sharing pre-trained models is key to accelerating progress in the field. That's why I was super eager to explore the possibility of hosting Fischer-Tom's model on https://huggingface.co/models. Imagine the impact of making your model readily available to the Hugging Face community!

Hosting your model on Hugging Face opens up a world of possibilities. It's like giving your research a massive visibility boost. We can add tags to the model card, making it super easy for people to find your model based on its capabilities, applications, and the datasets it was trained on. And of course, we'll link it directly to your paper page, creating a seamless experience for anyone interested in diving deeper.

If you're thinking, "Okay, this sounds awesome, but how do I actually upload my model?" Don't worry, we've got you covered! We've put together a handy guide here that walks you through the entire process. Whether you're working with PyTorch or another framework, we've got the tools and resources to make it smooth sailing.

For those using PyTorch, check out the PyTorchModelHubMixin class. This is a game-changer! It adds from_pretrained and push_to_hub methods directly to your model, making it incredibly easy to upload your model and allow others to download and use it in their own projects. It's all about making collaboration seamless and efficient.

Of course, if you prefer a more hands-on approach, you can always upload your model directly through the Hugging Face UI or using the hf_hub_download tool. We want to give you the flexibility to choose the method that works best for you.

Once your model is up on the Hub, the real magic begins. We can link it to your paper page (check out the details here), creating a powerful connection between your research and its practical implementation. This makes it incredibly easy for people to not only read about your work but also to use it.

Build a Demo on Spaces: Let Your Model Shine

But wait, there's more! What if you could create a live demo of your model, allowing people to interact with it directly in their browsers? That's where Hugging Face Spaces comes in. Spaces is a fantastic platform for building and sharing interactive demos of your machine learning models.

Imagine someone reading your paper and then being able to try out your model with just a few clicks. It's an incredibly powerful way to showcase the capabilities of your research and get valuable feedback from the community. Plus, it's just plain fun!

To make things even more exciting, we offer ZeroGPU grants, which give you access to A100 GPUs for free. This means you can build and host your demo on powerful hardware without breaking the bank. It's our way of supporting the community and making cutting-edge technology accessible to everyone.

Let's Collaborate! Your Journey Starts Now!

So, Fischer-Tom, and anyone else working on awesome projects in this area, I'd love to hear your thoughts! Are you interested in submitting your work to Hugging Face Papers? How about hosting your model on the Hub? And what about building a demo on Spaces? I'm here to help you every step of the way.

If you have any questions or need any guidance, please don't hesitate to reach out. The Hugging Face community is all about collaboration, and we're excited to see what you'll create. Let's work together to make this research even more impactful!

Kind regards,

Niels