Make Relation-DETR available on HF

[NielsRogge]

Question

Hi @xiuqhou,

Niels here from the open-source team at Hugging Face. I discovered your work through a paper that builds on your framework: https://huggingface.co/papers/2407.11699. I work together with AK on improving the visibility of researchers' work on the hub.

I was wondering you'd be up for making the Relation-DETR models available on the 🤗 hub to improve their discoverability. We can add tags so that people find them when filtering https://huggingface.co/models.

For instance in this case, "object-detection" seems useful: https://huggingface.co/models?pipeline_tag=object-detection.

Uploading models

See here for a guide: https://huggingface.co/docs/hub/models-uploading. In case the models are custom PyTorch model, we could probably leverage the PyTorchModelHubMixin class which adds from_pretrained and push_to_hub to each model. Alternatively, one can leverages the hf_hub_download one-liner to download a checkpoint from the hub.

We encourage researchers to push each model checkpoint to a separate model repository, so that things like download stats also work. Moreover, we can then link the checkpoints to the paper page, improving their visibility.

Let me know if you need any help regarding this!

Cheers,

Niels
ML Engineer @ HF 🤗

Additional

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[xiuqhou]

Hi @NielsRogge
Thanks for the suggestion. I am currently working on making Relation-DETR available on Huggingface. I will let you know later.