Hi @waltonfuture 🤗
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work through Hugging Face's daily papers as yours got featured: https://huggingface.co/papers/2308.12067.
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.
It's great to see that you have already shared the InstructionGPT-4 dataset on the Hub! Would you also like to host the MM-LIMA (InstructionGPT-4) model checkpoints you've fine-tuned on https://huggingface.co/models?
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, and link them directly to the paper page and your existing dataset.
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, letting people download and use the model right away. Alternatively, you can use hf_hub_download to load the weights.
After uploaded, we can also link the models to the paper page (read here) so people can discover your work.
You can also build a demo for your model on Spaces, we can provide you a ZeroGPU grant, which gives you A100 GPUs for free.
Let me know if you're interested/need any guidance :)
Kind regards,
Niels
Hi @waltonfuture 🤗
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work through Hugging Face's daily papers as yours got featured: https://huggingface.co/papers/2308.12067.
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.
It's great to see that you have already shared the
InstructionGPT-4dataset on the Hub! Would you also like to host the MM-LIMA (InstructionGPT-4) model checkpoints you've fine-tuned on https://huggingface.co/models?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, and link them directly to the paper page and your existing dataset.
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, letting people download and use the model right away. Alternatively, you can use hf_hub_download to load the weights.After uploaded, we can also link the models to the paper page (read here) so people can discover your work.
You can also build a demo for your model on Spaces, we can provide you a ZeroGPU grant, which gives you A100 GPUs for free.
Let me know if you're interested/need any guidance :)
Kind regards,
Niels