Release OccMamba On Hugging Face

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Introduction

As a member of the open-source team at Hugging Face, I came across your work on Arxiv and was impressed by the innovative approach you've taken in developing the OccMamba model. I'd like to extend an invitation to submit your paper to Hugging Face's paper page, which will not only increase its discoverability but also provide a platform for discussion and community engagement. Additionally, we can help you host your pre-trained model on Hugging Face, making it more accessible to the research community.

Benefits of Submitting Your Paper to Hugging Face

By submitting your paper to Hugging Face's paper page, you'll be able to:

  • Increase discoverability: Your paper will be listed on our paper page, making it easier for researchers to find and access your work.
  • Foster discussion: Our paper page allows for discussion and feedback from the community, enabling you to engage with other researchers and receive valuable insights.
  • Claim ownership: You can claim your paper as yours, which will be reflected on your public profile at Hugging Face, adding credibility to your work.
  • Link to your model: We can link your paper to your pre-trained model, making it easier for users to find and utilize your work.

Benefits of Hosting Your Model on Hugging Face

Hosting your pre-trained model on Hugging Face offers several benefits, including:

  • Improved visibility: Your model will be listed on our model hub, making it more accessible to researchers and developers.
  • Better discoverability: We can add tags to your model card, making it easier for users to find and utilize your work.
  • Link to your paper: We can link your model to your paper, enabling users to access your work more easily.
  • Community engagement: Our model hub allows for community engagement, enabling you to receive feedback and engage with other researchers.

Guidelines for Uploading Your Model

If you're interested in hosting your model on Hugging Face, we've provided a guide on how to upload your model. You can find the guide here. If you're using a custom PyTorch model, you can leverage the PyTorchModelHubMixin class, which adds from_pretrained and push_to_hub to any custom nn.Module. Alternatively, you can use the hf_hub_download one-liner to download a checkpoint from the hub.

Linking Your Model to Your Paper

After uploading your model, we can link it to your paper page, enabling users to discover your model more easily. You can find more information on how to link your model to your paper here.

Building a Demo for Your Model

We also offer the opportunity to build a demo for your model on Spaces, which provides a platform for showcasing your model's capabilities. We can provide you with a ZeroGPU grant, which gives you access to A100 GPUs for free.

Conclusion

We believe that hosting your OccMamba model on Hugging Face will not only increase its discoverability but also provide a platform for community engagement and discussion. If you're interested in submitting your paper and hosting your model on Hugging Face, please let us know, and we'll be happy to provide you with guidance and support.

Get in Touch

If you have any questions or need further guidance, please don't hesitate to reach out. We're always here to help.

Contact Information

You can contact us at support@huggingface.co or through our support page.

Join the Hugging Face Community

We're a community-driven platform, and we invite you to join us. You can find more information on how to get involved here.

Stay Up-to-Date with Hugging Face

Q: What is Hugging Face's paper page, and how can I submit my paper?

A: Hugging Face's paper page is a platform where researchers can submit their papers and make them more discoverable to the community. You can submit your paper by following the link https://huggingface.co/papers/submit. If you're one of the authors, you can submit it directly.

Q: What are the benefits of submitting my paper to Hugging Face's paper page?

A: By submitting your paper to Hugging Face's paper page, you'll be able to increase its discoverability, foster discussion, claim ownership, and link it to your pre-trained model. This will make it easier for researchers to find and access your work.

Q: How do I host my pre-trained model on Hugging Face?

A: To host your pre-trained model on Hugging Face, you can follow the guide provided here. If you're using a custom PyTorch model, you can leverage the PyTorchModelHubMixin class, which adds from_pretrained and push_to_hub to any custom nn.Module. Alternatively, you can use the hf_hub_download one-liner to download a checkpoint from the hub.

Q: How do I link my model to my paper page?

A: After uploading your model, we can link it to your paper page, enabling users to discover your model more easily. You can find more information on how to link your model to your paper here.

Q: What is Spaces, and how can I build a demo for my model?

A: Spaces is a platform provided by Hugging Face where you can build a demo for your model. We can provide you with a ZeroGPU grant, which gives you access to A100 GPUs for free. You can find more information on how to build a demo for your model here.

Q: How do I get in touch with the Hugging Face team?

A: You can contact us at support@huggingface.co or through our support page. We're always here to help.

Q: What is the Hugging Face community, and how can I get involved?

A: We're a community-driven platform, and we invite you to join us. You can find more information on how to get involved here.

Q: How can I stay up-to-date with the latest news and updates from Hugging Face?

A: To stay up-to-date with the latest news and updates from Hugging Face, please follow us on Twitter or LinkedIn.

Q: What are the benefits of hosting my model on Hugging Face?

A: By hosting your model on Hugging Face, you'll be able to increase its visibility, improve its discoverability, link it to your paper, and engage with the community. This will make it easier for researchers to find and utilize your work.

Q: Can I use Hugging Face's model hub to host my custom PyTorch model?

A: Yes, you can use Hugging Face's model hub to host your custom PyTorch model. You can leverage the PyTorchModelHubMixin class, which adds from_pretrained and push_to_hub to any custom nn.Module. Alternatively, you can use the hf_hub_download one-liner to download a checkpoint from the hub.

Q: How do I claim ownership of my paper on Hugging Face's paper page?

A: You can claim ownership of your paper on Hugging Face's paper page by following the link https://huggingface.co/papers/submit. If you're one of the authors, you can submit it directly.

Q: What is the ZeroGPU grant, and how can I get it?

A: The ZeroGPU grant is a program provided by Hugging Face that gives you access to A100 GPUs for free. You can get it by building a demo for your model on Spaces and following the guidelines provided here.