Benefits of Uploading Models

Oct 13, 2025 by magicalceylontours.com 112 views

Introduction

As a member of the open-source team at Hugging Face, I am excited to reach out to you, FengodChen, regarding your work on ArXiv. Your research on DMP-DUN models and datasets has caught our attention, and we believe that making them available on the Hugging Face platform can significantly enhance their discoverability and visibility. In this article, we will guide you through the process of uploading your models and datasets to the Hugging Face hub, making it easier for the research community to access and build upon your work.

Uploading Models

We understand that your models are currently hosted on Modelscope, and you are using local folders for the test datasets. To make your models more accessible, we recommend uploading them to the Hugging Face hub. This will enable researchers to easily download and use your models, as well as provide a platform for discussion and feedback.

To upload your models, you can follow the guide provided by Hugging Face: https://huggingface.co/docs/hub/models-uploading. In this case, 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.

Benefits of Uploading Models

Uploading your models to the Hugging Face hub offers several benefits, including:

Improved discoverability: Your models will be listed on the Hugging Face models page, making it easier for researchers to find and use them.
Enhanced visibility: Your models will be visible to a larger audience, including researchers, developers, and practitioners.
Download statistics: You will be able to track the number of downloads for each model, providing valuable insights into their usage and impact.
Linking to paper page: You can link your model checkpoints to the paper page, making it easier for readers to access and explore your work.

Uploading Datasets

In addition to uploading your models, we also encourage you to make your datasets available on the Hugging Face platform. This will enable researchers to easily load and use your datasets, as well as provide a platform for discussion and feedback.

To upload your datasets, you can follow the guide provided by Hugging Face: https://huggingface.co/docs/datasets/loading. You can use the load_dataset function to load your dataset from the Hugging Face hub, making it easier for researchers to access and use your data.

Benefits of Uploading Datasets

Uploading your datasets to the Hugging Face hub offers several benefits, including:

Improved discoverability: Your datasets will be listed on the Hugging Face datasets page, making it easier for researchers to find and use them.
Enhanced visibility: Your datasets will be visible to a larger audience, including researchers, developers, and practitioners.
Easy loading: Researchers can easily load your datasets using the load_dataset function, making it easier to access and use your data.
Dataset viewer: You can use the dataset viewer to quickly explore the first few rows of your data in the browser.

Conclusion

In conclusion, uploading your DMP-DUN models and datasets to the Hugging Face platform can significantly enhance their discoverability and visibility. By following the guides provided by Hugging Face, you can easily upload your models and datasets, making it easier for researchers to access and build upon your work. We encourage you to take advantage of this opportunity and make your models and datasets available on the Hugging Face hub.

Getting Started

If you are interested in uploading your models and datasets to the Hugging Face hub, please let us know. We are happy to provide guidance and support throughout the process. You can submit your paper to the Hugging Face papers page, which allows people to discuss your paper and find artifacts about it, including your models, datasets, or demos. You can also claim the paper as yours, which will show up on your public profile at HF, add GitHub and project page URLs.

We look forward to hearing from you and working together to make your models and datasets more accessible to the research community.

Additional Resources

Hugging Face papers page: https://hf.co/papers
Hugging Face models page: https://huggingface.co/models
Hugging Face datasets page: https://huggingface.co/datasets
Hugging Face documentation: https://huggingface.co/docs

Contact Us

If you have any questions or need further assistance, please don't hesitate to reach out. We are here to help and look forward to working with you.

Best regards,

Introduction

In our previous article, we discussed the benefits of uploading your DMP-DUN models and datasets to the Hugging Face platform. To help you better understand the process and address any questions you may have, we have put together a Q&A article. Below, you will find answers to some of the most frequently asked questions about uploading models and datasets on Hugging Face.

Q: What is the Hugging Face hub, and why should I upload my models and datasets there?

A: The Hugging Face hub is a platform that allows researchers to share and discover models, datasets, and other artifacts. By uploading your models and datasets to the hub, you can make them more accessible to the research community, improve their discoverability, and enhance their visibility.

Q: How do I upload my models to the Hugging Face hub?

A: To upload your models to the Hugging Face hub, you can follow the guide provided by Hugging Face: https://huggingface.co/docs/hub/models-uploading. 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: What are the benefits of uploading my models to the Hugging Face hub?

A: Uploading your models to the Hugging Face hub offers several benefits, including:

Improved discoverability: Your models will be listed on the Hugging Face models page, making it easier for researchers to find and use them.
Enhanced visibility: Your models will be visible to a larger audience, including researchers, developers, and practitioners.
Download statistics: You will be able to track the number of downloads for each model, providing valuable insights into their usage and impact.
Linking to paper page: You can link your model checkpoints to the paper page, making it easier for readers to access and explore your work.

Q: How do I upload my datasets to the Hugging Face hub?

A: To upload your datasets to the Hugging Face hub, you can follow the guide provided by Hugging Face: https://huggingface.co/docs/datasets/loading. You can use the load_dataset function to load your dataset from the Hugging Face hub, making it easier for researchers to access and use your data.

Q: What are the benefits of uploading my datasets to the Hugging Face hub?

A: Uploading your datasets to the Hugging Face hub offers several benefits, including:

Improved discoverability: Your datasets will be listed on the Hugging Face datasets page, making it easier for researchers to find and use them.
Enhanced visibility: Your datasets will be visible to a larger audience, including researchers, developers, and practitioners.
Easy loading: Researchers can easily load your datasets using the load_dataset function, making it easier to access and use your data.
Dataset viewer: You can use the dataset viewer to quickly explore the first few rows of your data in the browser.

Q: Can I link my models and datasets to my paper on the Hugging Face papers page?

A: Yes, you can link your models and datasets to your paper on the Hugging Face papers page. This will make it easier for readers to access and explore your work.

Q: How do I claim my paper on the Hugging Face papers page?

A: To claim your paper on the Hugging Face papers page, you can follow these steps:

Go to the Hugging Face papers page: https://hf.co/papers
Search for your paper using the search bar
Click on the paper title to view its details
Click on the "Claim" button to claim your paper
Fill out the required information, including your GitHub and project page URLs

Q: What if I need help uploading my models and datasets to the Hugging Face hub?

A: If you need help uploading your models and datasets to the Hugging Face hub, please don't hesitate to reach out. We are here to help and can provide guidance and support throughout the process.

Conclusion

In conclusion, uploading your DMP-DUN models and datasets to the Hugging Face platform can significantly enhance their discoverability and visibility. By following the guides provided by Hugging Face and answering the questions above, you can make your models and datasets more accessible to the research community. If you have any further questions or need help, please don't hesitate to reach out.

Additional Resources

Hugging Face papers page: https://hf.co/papers
Hugging Face models page: https://huggingface.co/models
Hugging Face datasets page: https://huggingface.co/datasets
Hugging Face documentation: https://huggingface.co/docs

Contact Us

If you have any questions or need further assistance, please don't hesitate to reach out. We are here to help and look forward to working with you.

Best regards,

Niels ML Engineer @ HF