Niels here from the open-source team at Hugging Face. I discovered your work through the paper page: https://huggingface.co/papers/2311.12085 (feel free to claim it as author). I work together with AK on improving the visibility of researchers' work on the hub.
It'd be great to make the checkpoints available on the hub, in place of Google Drive, to improve the discoverability of your work (so that people find them when filtering https://hf.co/models). See below for some guidance.
Uploading models
We provide a guide here: https://huggingface.co/docs/hub/models-uploading. In case the models are custom PyTorch model, we could probably leverage the PyTorchModelHubMixin class which adds from_pretrained and push_to_hub to each model. Alternatively, one can leverages the hf_hub_download one-liner to download a checkpoint from the hub.
Hi @yuhengliu02,
Niels here from the open-source team at Hugging Face. I discovered your work through the paper page: https://huggingface.co/papers/2311.12085 (feel free to claim it as author). I work together with AK on improving the visibility of researchers' work on the hub.
It'd be great to make the checkpoints available on the hub, in place of Google Drive, to improve the discoverability of your work (so that people find them when filtering https://hf.co/models). See below for some guidance.
Uploading models
We provide a guide here: https://huggingface.co/docs/hub/models-uploading. In case the models are custom PyTorch model, we could probably leverage the PyTorchModelHubMixin class which adds
from_pretrained
andpush_to_hub
to each model. Alternatively, one can leverages the hf_hub_download one-liner to download a checkpoint from the hub.Let me know if you need any help regarding this!
Cheers,
Niels ML Engineer @ HF 🤗