Hi @dpascualhe 🤗
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 (your models for instance), you can also claim the paper as yours which will show up on your public profile at HF, and add Github and project page URLs.
I noticed in your technical report that you plan to make the code and weights for your SegFormer and Mask2Former models publicly available at https://github.com/RoboticsLabURJC/outdoor-fine-grained-segmentation. Would you like to host these pre-trained checkpoints on https://huggingface.co/models?
Hosting on Hugging Face will give you more visibility and enable better discoverability. We can add tags in the model cards (such as the image-segmentation pipeline tag) so that people find the models easier, link it directly to the paper page, etc.
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 lets people download and use them right away. If you do not want this and directly want to upload models through the UI or CLI, people can also use hf_hub_download.
After uploaded, we can also link the models to the paper page (read here) so people can discover your models.
Let me know if you're interested/need any guidance :)
Kind regards,
Niels
Hi @dpascualhe 🤗
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 (your models for instance), you can also claim the paper as yours which will show up on your public profile at HF, and add Github and project page URLs.
I noticed in your technical report that you plan to make the code and weights for your SegFormer and Mask2Former models publicly available at https://github.com/RoboticsLabURJC/outdoor-fine-grained-segmentation. Would you like to host these pre-trained checkpoints on https://huggingface.co/models?
Hosting on Hugging Face will give you more visibility and enable better discoverability. We can add tags in the model cards (such as the
image-segmentationpipeline tag) so that people find the models easier, link it directly to the paper page, etc.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 lets people download and use them right away. If you do not want this and directly want to upload models through the UI or CLI, people can also use hf_hub_download.After uploaded, we can also link the models to the paper page (read here) so people can discover your models.
Let me know if you're interested/need any guidance :)
Kind regards,
Niels