Hi @changliu19 🤗
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work on Arxiv and was wondering whether you would like to submit it to hf.co/papers to improve its discoverability. If you are one of the authors, you can submit it at https://huggingface.co/papers/submit.
The paper page lets people discuss about your paper and lets them find artifacts about it. I noticed that you've already hosted the gRefCOCO dataset on the Hub here: https://huggingface.co/datasets/FudanCVL/gRefCOCO. That's great!
Would you also like to host the ReLA model checkpoints you've pre-trained on https://huggingface.co/models? I see you are currently using Google Drive for them. Hosting on Hugging Face will give you more visibility and enable better discoverability through metadata tags.
If you're down, leaving a guide here. If it's a custom PyTorch model, you can use the PyTorchModelHubMixin class which adds from_pretrained and push_to_hub to the model, which lets you upload the model and people to download and use them right away. Alternatively, you can use hf_hub_download.
After uploaded, we can also link the models to the paper page (read here) so people can discover your work.
You can also build a demo for your model on Spaces, we can provide you a ZeroGPU grant, which gives you A100 GPUs for free.
Let me know if you're interested or need any guidance!
Kind regards,
Niels
Hi @changliu19 🤗
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work on Arxiv and was wondering whether you would like to submit it to hf.co/papers to improve its discoverability. If you are one of the authors, you can submit it at https://huggingface.co/papers/submit.
The paper page lets people discuss about your paper and lets them find artifacts about it. I noticed that you've already hosted the gRefCOCO dataset on the Hub here: https://huggingface.co/datasets/FudanCVL/gRefCOCO. That's great!
Would you also like to host the ReLA model checkpoints you've pre-trained on https://huggingface.co/models? I see you are currently using Google Drive for them. Hosting on Hugging Face will give you more visibility and enable better discoverability through metadata tags.
If you're down, leaving a guide here. If it's a custom PyTorch model, you can use the PyTorchModelHubMixin class which adds
from_pretrainedandpush_to_hubto the model, which lets you upload the model and people to download and use them right away. Alternatively, you can use hf_hub_download.After uploaded, we can also link the models to the paper page (read here) so people can discover your work.
You can also build a demo for your model on Spaces, we can provide you a ZeroGPU grant, which gives you A100 GPUs for free.
Let me know if you're interested or need any guidance!
Kind regards,
Niels