Hi @HAIV-Lab 🤗
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work on Arxiv, specifically your paper "OpenHAIV: A Framework Towards Practical Open-World Learning", and was excited to see the OES dataset is already available on Hugging Face! The paper page is here: https://huggingface.co/papers/2508.07270.
The paper page lets people discuss your paper and find related artifacts (like your dataset), and 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 from your GitHub repository's "TODO List" that you plan to "Add pre-trained model zoo". It would be great to make these pre-trained models available on the 🤗 Hub once they are ready, to improve their discoverability and visibility. We can add tags to the model cards so that people can find the models more easily and link them to the paper page.
If you're interested in hosting your models on https://huggingface.co/models, here's a guide: https://huggingface.co/docs/hub/models-uploading. If it's a custom PyTorch model, you can use the PyTorchModelHubMixin class, which adds from_pretrained and push_to_hub methods, allowing users to easily download and use your models. Alternatively, people can use hf_hub_download to download individual files.
After uploading, we can also link the models to the paper page (read here) to further enhance their discoverability.
You can also build a demo for your models on Spaces. We can even provide a ZeroGPU grant, which gives you free access to A100 GPUs.
Let me know if you're interested or need any guidance when the models are ready for release!
Kind regards,
Niels
Hi @HAIV-Lab 🤗
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work on Arxiv, specifically your paper "OpenHAIV: A Framework Towards Practical Open-World Learning", and was excited to see the
OESdataset is already available on Hugging Face! The paper page is here: https://huggingface.co/papers/2508.07270.The paper page lets people discuss your paper and find related artifacts (like your dataset), and 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 from your GitHub repository's "TODO List" that you plan to "Add pre-trained model zoo". It would be great to make these pre-trained models available on the 🤗 Hub once they are ready, to improve their discoverability and visibility. We can add tags to the model cards so that people can find the models more easily and link them to the paper page.
If you're interested in hosting your models on https://huggingface.co/models, here's a guide: https://huggingface.co/docs/hub/models-uploading. If it's a custom PyTorch model, you can use the PyTorchModelHubMixin class, which adds
from_pretrainedandpush_to_hubmethods, allowing users to easily download and use your models. Alternatively, people can usehf_hub_downloadto download individual files.After uploading, we can also link the models to the paper page (read here) to further enhance their discoverability.
You can also build a demo for your models on Spaces. We can even provide a ZeroGPU grant, which gives you free access to A100 GPUs.
Let me know if you're interested or need any guidance when the models are ready for release!
Kind regards,
Niels