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I'm Niels and work as part of the open-source team at Hugging Face. I recently collaborated with Vincent Leroy from NAVER Labs regarding his works Dust3r and Mast3r. Both are integrated on Hugging Face for better discoverability of the works, along with a Gradio demo which can be ran locally.
Would you like to host the model you've pre-trained on https://huggingface.co/models? Hosting on Hugging Face will give you more visibility. We can add tags in the model cards so that people find the models easier such as image-to-3d, link it to the paper page (once it's on Arxiv), etc.
Uploading models
If you're down, leaving a guide here. If it's a PyTorch model, you can use PyTorchModelHubMixin class which adds from_pretrained and push_to_hub to the model which lets you to upload the model and people to download and use models right away.
If you do not want this and directly want to upload model through UI or however you want, people can also use hf_hub_download.
After uploaded, we can also link the models to the paper page (read here) so people can discover your model.
Gradio demo
You can also build a Gradio demo to your model on Spaces we can provide you an A100 grant.
Let us know if you are interested/need any assistance!
Kind regards,
Niels
The text was updated successfully, but these errors were encountered:
Hello @Junyi42 🤗
I'm Niels and work as part of the open-source team at Hugging Face. I recently collaborated with Vincent Leroy from NAVER Labs regarding his works Dust3r and Mast3r. Both are integrated on Hugging Face for better discoverability of the works, along with a Gradio demo which can be ran locally.
Would you like to host the model you've pre-trained on https://huggingface.co/models? Hosting on Hugging Face will give you more visibility. We can add tags in the model cards so that people find the models easier such as
image-to-3d
, link it to the paper page (once it's on Arxiv), etc.Uploading models
If you're down, leaving a guide here. If it's a PyTorch model, you can use PyTorchModelHubMixin class which adds from_pretrained and push_to_hub to the model which lets you to upload the model and people to download and use models right away.
If you do not want this and directly want to upload model through UI or however you want, people can also use hf_hub_download.
After uploaded, we can also link the models to the paper page (read here) so people can discover your model.
Gradio demo
You can also build a Gradio demo to your model on Spaces we can provide you an A100 grant.
Let us know if you are interested/need any assistance!
Kind regards,
Niels
The text was updated successfully, but these errors were encountered: