Niels here from the open-source team at Hugging Face. I discovered your work through the paper page: https://huggingface.co/papers/2407.21721 (feel free to claim the paper so that it appears at your HF account!).
However there are a couple of things which could improve the discoverability of your work, which I've listed below.
Upload models and link them to the paper
It would be great to upload the checkpoints to the hub, along with model cards and tags so that people find them when filtering hf.co/models.
Hi,
Niels here from the open-source team at Hugging Face. I discovered your work through the paper page: https://huggingface.co/papers/2407.21721 (feel free to claim the paper so that it appears at your HF account!).
However there are a couple of things which could improve the discoverability of your work, which I've listed below.
Upload models and link them to the paper
It would be great to upload the checkpoints to the hub, along with model cards and tags so that people find them when filtering hf.co/models.
See here for a guide: https://huggingface.co/docs/hub/models-uploading. Here I'd recommend leveraging the PyTorchModelHubMixin class as it suits custom PyTorch models.
Regarding a model card along with metadata tags, here's a guide: https://huggingface.co/docs/huggingface_hub/en/guides/model-cards
It would be great to link the models to the paper, see here on how to do that: https://huggingface.co/docs/hub/en/model-cards#linking-a-paper
Let me know if you need any help regarding this!
Cheers,
Niels ML Engineer @ HF 🤗