Hi @MaticFuc 🤗
Niels here from the open-source team at Hugging Face. I discovered your work on Arxiv, specifically your paper "SALAD -- Semantics-Aware Logical Anomaly Detection", which has a Hugging Face paper page here: https://huggingface.co/papers/2509.02101.
The paper page lets people discuss your paper and find related artifacts (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, and add GitHub and project page URLs.
It'd be great to make the SALAD model checkpoints and the newly introduced SALAD Composition Maps dataset available on the 🤗 Hub, to 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 leverage 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 SALAD Composition Maps dataset 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.
Let me know if you're interested/need any help regarding this!
Cheers,
Niels
ML Engineer @ HF 🤗
Hi @MaticFuc 🤗
Niels here from the open-source team at Hugging Face. I discovered your work on Arxiv, specifically your paper "SALAD -- Semantics-Aware Logical Anomaly Detection", which has a Hugging Face paper page here: https://huggingface.co/papers/2509.02101.
The paper page lets people discuss your paper and find related artifacts (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, and add GitHub and project page URLs.
It'd be great to make the SALAD model checkpoints and the newly introduced SALAD Composition Maps dataset available on the 🤗 Hub, to 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 leverage 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 SALAD Composition Maps dataset 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.
Let me know if you're interested/need any help regarding this!
Cheers,
Niels
ML Engineer @ HF 🤗