Hi @willxxy 🤗
Niels here from the open-source team at Hugging Face. I discovered your work on Arxiv and was wondering whether you would like to submit it to hf.co/papers to improve its discoverability. If you are one of the authors, you can submit it at https://huggingface.co/papers/2601.18798
First of all, congratulations on "ELF: A Family of Encoder-Free ECG-Language Models"! I also noticed that you have already hosted a wonderful suite of preprocessed ECG datasets on the Hugging Face Hub under your username @willxxy, which is incredibly helpful for the community!
I saw in your GitHub repository (https://github.com/ELM-Research/ECG-Language-Models) that you plan to release pretrained models soon. Would you like to host the ELF family of models (Base ELF, Patch ELF, and Conv ELF) on https://huggingface.co/models once they are ready?
Hosting on Hugging Face will give you more visibility and enable better discoverability. We can add tags in the model cards so that people find the models easier, link them directly to the paper page, etc.
If you're down, leaving a guide here. If it's a custom PyTorch model, you can use the PyTorchModelHubMixin class which adds from_pretrained and push_to_hub to the model, allowing you to upload the model and users to download and use models right away. Alternatively, you can directly upload them via the Hub UI or CLI, and load them using hf_hub_download.
After they are uploaded, we can also link the models and the datasets to the paper page (read here) so people can discover all your artifacts in one place.
Let me know if you're interested or need any guidance!
Kind regards,
Niels
Hi @willxxy 🤗
Niels here from the open-source team at Hugging Face. I discovered your work on Arxiv and was wondering whether you would like to submit it to hf.co/papers to improve its discoverability. If you are one of the authors, you can submit it at https://huggingface.co/papers/2601.18798
First of all, congratulations on "ELF: A Family of Encoder-Free ECG-Language Models"! I also noticed that you have already hosted a wonderful suite of preprocessed ECG datasets on the Hugging Face Hub under your username @willxxy, which is incredibly helpful for the community!
I saw in your GitHub repository (https://github.com/ELM-Research/ECG-Language-Models) that you plan to release pretrained models soon. Would you like to host the ELF family of models (Base ELF, Patch ELF, and Conv ELF) on https://huggingface.co/models once they are ready?
Hosting on Hugging Face will give you more visibility and enable better discoverability. We can add tags in the model cards so that people find the models easier, link them directly to the paper page, etc.
If you're down, leaving a guide here. If it's a custom PyTorch model, you can use the PyTorchModelHubMixin class which adds
from_pretrainedandpush_to_hubto the model, allowing you to upload the model and users to download and use models right away. Alternatively, you can directly upload them via the Hub UI or CLI, and load them using hf_hub_download.After they are uploaded, we can also link the models and the datasets to the paper page (read here) so people can discover all your artifacts in one place.
Let me know if you're interested or need any guidance!
Kind regards,
Niels