Hi @Vanessik 馃
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 and datasets 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 saw on your project page that you're planning to release the code and results for NeuralFur soon. It'd be great to make the checkpoints (like the MLP-based fur representations) and any datasets you've curated available on the 馃 hub to improve their discoverability and visibility.
Uploading models
Hosting on Hugging Face will give you more visibility. We can add tags in the model cards so that people find the models easier, link it to the paper page, etc. You can find 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.
Uploading datasets
Since you mentioned the lack of existing animal fur datasets, making your multi-view captures available on https://huggingface.co/datasets would be a great contribution to the community. It would allow people to easily load them via the datasets library and explore them through our dataset viewer.
You can also build a demo for your model on Spaces, and we can provide you a ZeroGPU grant for free A100 GPU access.
Let me know if you're interested or need any guidance!
Kind regards,
Niels
ML Engineer @ HF 馃
Hi @Vanessik 馃
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 and datasets 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 saw on your project page that you're planning to release the code and results for NeuralFur soon. It'd be great to make the checkpoints (like the MLP-based fur representations) and any datasets you've curated available on the 馃 hub to improve their discoverability and visibility.
Uploading models
Hosting on Hugging Face will give you more visibility. We can add tags in the model cards so that people find the models easier, link it to the paper page, etc. You can find a guide here. If it's a custom PyTorch model, you can use the PyTorchModelHubMixin class which adds
from_pretrainedandpush_to_hubto the model.Uploading datasets
Since you mentioned the lack of existing animal fur datasets, making your multi-view captures available on https://huggingface.co/datasets would be a great contribution to the community. It would allow people to easily load them via the
datasetslibrary and explore them through our dataset viewer.You can also build a demo for your model on Spaces, and we can provide you a ZeroGPU grant for free A100 GPU access.
Let me know if you're interested or need any guidance!
Kind regards,
Niels
ML Engineer @ HF 馃