Hi @NoakLiu 🤗
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work on Arxiv regarding OLIVE 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/submit.
The paper page lets people discuss about your paper and lets them find artifacts about it (your models 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.
I saw that you mentioned a code repository at https://github.com/FastLM/OLIVE. Would you like to host the models you've developed (such as the Pretrained-MM base policy) and the OLIVE implementation on https://huggingface.co/models? Hosting on Hugging Face will give you more visibility and enable better discoverability. We can add tags like robotics and reinforcement-learning in the model cards so that people find the work easier, and link them directly to the paper page.
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 which lets you upload the model and lets people download and use models right away.
Let me know if you're interested or need any guidance!
Kind regards,
Niels
Hi @NoakLiu 🤗
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work on Arxiv regarding OLIVE 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/submit.
The paper page lets people discuss about your paper and lets them find artifacts about it (your models 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.
I saw that you mentioned a code repository at https://github.com/FastLM/OLIVE. Would you like to host the models you've developed (such as the Pretrained-MM base policy) and the OLIVE implementation on https://huggingface.co/models? Hosting on Hugging Face will give you more visibility and enable better discoverability. We can add tags like
roboticsandreinforcement-learningin the model cards so that people find the work easier, and link them directly to the paper page.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 which lets you upload the model and lets people download and use models right away.Let me know if you're interested or need any guidance!
Kind regards,
Niels