Hi @WangHanLinHenry 馃
Niels here from the open-source team at Hugging Face. I discovered your work on Arxiv regarding the EVU mechanism for mitigating belief inertia in embodied agents. It's a very interesting approach to improving agent reasoning!
I saw that you've set up a GitHub repository for the project at https://github.com/WangHanLinHenry/EVU and mention in the paper that the code is available. I was wondering whether you would like to submit your paper 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.
It would be great to host the model checkpoints you've trained (such as the SFT and RL-tuned models mentioned in your experiments) and any datasets/trajectories you might release on the 馃 Hub. Hosting on Hugging Face will give your work more visibility and allow the community to easily find and use your artifacts via the paper page.
Uploading models
You can find a guide on uploading models here. For custom PyTorch models, you can use the PyTorchModelHubMixin class, which adds from_pretrained and push_to_hub methods, making it very easy for others to download and run your agents.
Uploading datasets
Making your datasets available on the Hub allows people to load them instantly:
from datasets import load_dataset
dataset = load_dataset("your-username/your-dataset-name")We also provide a dataset viewer so people can explore the data directly in their browser.
After you've uploaded them, we can link everything to your paper page on Hugging Face so they are all in one place.
Let me know if you're interested or if you need any help with the process!
Kind regards,
Niels
ML Engineer @ HF 馃
Hi @WangHanLinHenry 馃
Niels here from the open-source team at Hugging Face. I discovered your work on Arxiv regarding the EVU mechanism for mitigating belief inertia in embodied agents. It's a very interesting approach to improving agent reasoning!
I saw that you've set up a GitHub repository for the project at https://github.com/WangHanLinHenry/EVU and mention in the paper that the code is available. I was wondering whether you would like to submit your paper 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.
It would be great to host the model checkpoints you've trained (such as the SFT and RL-tuned models mentioned in your experiments) and any datasets/trajectories you might release on the 馃 Hub. Hosting on Hugging Face will give your work more visibility and allow the community to easily find and use your artifacts via the paper page.
Uploading models
You can find a guide on uploading models here. For custom PyTorch models, you can use the PyTorchModelHubMixin class, which adds
from_pretrainedandpush_to_hubmethods, making it very easy for others to download and run your agents.Uploading datasets
Making your datasets available on the Hub allows people to load them instantly:
We also provide a dataset viewer so people can explore the data directly in their browser.
After you've uploaded them, we can link everything to your paper page on Hugging Face so they are all in one place.
Let me know if you're interested or if you need any help with the process!
Kind regards,
Niels
ML Engineer @ HF 馃