Niels here from the open-source team at Hugging Face. I discovered your work through ECCV, I indexed your paper: https://huggingface.co/papers/2403.04640 (feel free to claim it with your HF account). I work together with AK on improving the visibility of researchers' work on the hub.
It'd be great to make the models and dataset available on the 🤗 hub, rather than Google Drive, to improve their discoverability/visibility. We can add tags so that people find them when filtering https://huggingface.co/models.
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.
Uploading dataset
Would be awesome to make the training dataset available on 🤗 , so that people can do:
from datasets import load_dataset
dataset = load_dataset("your-hf-org/baycat-dataset")
Hi @rikeilong,
Niels here from the open-source team at Hugging Face. I discovered your work through ECCV, I indexed your paper: https://huggingface.co/papers/2403.04640 (feel free to claim it with your HF account). I work together with AK on improving the visibility of researchers' work on the hub.
It'd be great to make the models and dataset available on the 🤗 hub, rather than Google Drive, to improve their discoverability/visibility. We can add tags so that people find them when filtering https://huggingface.co/models.
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.
Uploading dataset
Would be awesome to make the training dataset available on 🤗 , so that people can do:
See here for a guide: https://huggingface.co/docs/datasets/image_dataset
Besides that, there's the dataset viewer which allows people to quickly explore the first few rows of the data in the browser.
Let me know if you're interested/need any help regarding this!
Cheers,
Niels ML Engineer @ HF 🤗