Hi @zhuhz22 🤗
Niels here from the open-source team at Hugging Face. I discovered your work through Hugging Face's daily papers as yours got featured: https://huggingface.co/papers/2605.15141.
The paper page lets people discuss about your paper and lets them find artifacts about it (your models, datasets or demo for instance), you can also claim
the paper as yours which will show up on your public profile at HF, add Github and project page URLs.
It's fantastic to see that you've already released multiple Causal Forcing and Causal Forcing++ model checkpoints, along with the "Causal-Forcing-data" dataset, on the 🤗 Hub! This is a great step towards making your work more discoverable.
I also noticed on your shengshu-ai/minWM project page that you are planning to release additional model checkpoints (HunyuanVideo and Wan) and an "action-conditioned data" dataset soon. It'd be great to make these upcoming artifacts available on the 🤗 hub as well, to further improve their discoverability and visibility.
We can add tags so that people find them when filtering https://huggingface.co/models and https://huggingface.co/datasets.
Uploading models
See here for a guide: https://huggingface.co/docs/hub/models-uploading.
In this case, we could leverage the PyTorchModelHubMixin class which adds from_pretrained and push_to_hub to any custom nn.Module. Alternatively, one can leverages the hf_hub_download one-liner to download a checkpoint from the hub.
We encourage researchers to push each model checkpoint to a separate model repository, so that things like download stats also work. We can then also link the checkpoints to the paper page. For the HunyuanVideo and Wan checkpoints related to Causal Forcing++, the pipeline tag would likely be image-to-video as they are for video generation.
Uploading dataset
Would be awesome to make the "action-conditioned data" available on 🤗 , so that people can do:
from datasets import load_dataset
dataset = load_dataset("your-hf-org-or-username/your-dataset")See here for a guide: https://huggingface.co/docs/datasets/loading.
Besides that, there's the dataset viewer which allows people to quickly explore the first few rows of the data in the browser. For the action-conditioned data, the task category would likely be image-to-video.
Let me know if you're interested/need any help regarding this!
Cheers,
Niels
ML Engineer @ HF 🤗
Hi @zhuhz22 🤗
Niels here from the open-source team at Hugging Face. I discovered your work through Hugging Face's daily papers as yours got featured: https://huggingface.co/papers/2605.15141.
The paper page lets people discuss about your paper and lets them find artifacts about it (your models, datasets or demo for instance), you can also claim
the paper as yours which will show up on your public profile at HF, add Github and project page URLs.
It's fantastic to see that you've already released multiple Causal Forcing and Causal Forcing++ model checkpoints, along with the "Causal-Forcing-data" dataset, on the 🤗 Hub! This is a great step towards making your work more discoverable.
I also noticed on your
shengshu-ai/minWMproject page that you are planning to release additional model checkpoints (HunyuanVideo and Wan) and an "action-conditioned data" dataset soon. It'd be great to make these upcoming artifacts available on the 🤗 hub as well, to further improve their discoverability and visibility.We can add tags so that people find them when filtering https://huggingface.co/models and https://huggingface.co/datasets.
Uploading models
See here for a guide: https://huggingface.co/docs/hub/models-uploading.
In this case, we could leverage the PyTorchModelHubMixin class which adds
from_pretrainedandpush_to_hubto any customnn.Module. Alternatively, one can leverages the hf_hub_download one-liner to download a checkpoint from the hub.We encourage researchers to push each model checkpoint to a separate model repository, so that things like download stats also work. We can then also link the checkpoints to the paper page. For the HunyuanVideo and Wan checkpoints related to Causal Forcing++, the pipeline tag would likely be
image-to-videoas they are for video generation.Uploading dataset
Would be awesome to make the "action-conditioned data" available on 🤗 , so that people can do:
See here for a guide: https://huggingface.co/docs/datasets/loading.
Besides that, there's the dataset viewer which allows people to quickly explore the first few rows of the data in the browser. For the action-conditioned data, the task category would likely be
image-to-video.Let me know if you're interested/need any help regarding this!
Cheers,
Niels
ML Engineer @ HF 🤗