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I'm Niels and work as part of the open-source team at Hugging Face. I discovered the GIVT paper through ECCV (congrats on getting it accepted!) and indexed the paper page here: https://huggingface.co/papers/2312.02116. The paper page lets people discuss about your paper and lets them find artifacts about it (your checkpoints for instance), you can also claim the paper as yours which will show up on your public profile at HF.
Would you like to host the GIVT checkpoints you've pre-trained on https://huggingface.co/models? Hosting on Hugging Face will give it more visibility/better discoverability. We can add tags in the model cards so that people find the models easier, link it to the paper page, etc.
Thinking more generally about it, it would be great if researchers at Google would adopt the 🤗 hub as a means to distribute research artifacts for new work besides PaliGemma/GIVT, alongside the GCP buckets which are used by default, at https://huggingface.co/google. Note that all storage is free!
If you're down, leaving a guide here regarding uploading files. The hf_hub_download one-liner for instance allows to very easily download a single file from the hub.
After uploaded, we can also link the models to the paper page (as explained here) so people can discover your model.
Hello @mitscha @lucasb-eyer 🤗
I'm Niels and work as part of the open-source team at Hugging Face. I discovered the GIVT paper through ECCV (congrats on getting it accepted!) and indexed the paper page here: https://huggingface.co/papers/2312.02116. The paper page lets people discuss about your paper and lets them find artifacts about it (your checkpoints for instance), you can also claim the paper as yours which will show up on your public profile at HF.
Would you like to host the GIVT checkpoints you've pre-trained on https://huggingface.co/models? Hosting on Hugging Face will give it more visibility/better discoverability. We can add tags in the model cards so that people find the models easier, link it to the paper page, etc.
See e.g. how PaliGemma was uploaded to the hub:
image-text-to-text
so that people find them at https://huggingface.co/models?pipeline_tag=image-text-to-textProposal (request)
Thinking more generally about it, it would be great if researchers at Google would adopt the 🤗 hub as a means to distribute research artifacts for new work besides PaliGemma/GIVT, alongside the GCP buckets which are used by default, at https://huggingface.co/google. Note that all storage is free!
See e.g. a recent benchmark for RAG which was shared at https://huggingface.co/datasets/google/frames-benchmark.
If you're down, leaving a guide here regarding uploading files. The hf_hub_download one-liner for instance allows to very easily download a single file from the hub.
After uploaded, we can also link the models to the paper page (as explained here) so people can discover your model.
Demos for new models could be made on Spaces.
Let us know what you think!
Kind regards,
Niels
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