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tencent-ailab / Leopard

The repository for the paper titled "Leopard: A Vision Language Model For Text-Rich Multi-Image Tasks"
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Release Leopard on Hugging Face #1

Open NielsRogge opened 1 month ago

NielsRogge commented 1 month ago

Hello @Jill0001 šŸ¤—

I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work as it got featured by AK's daily papers: https://huggingface.co/papers/2410.01744. The paper page lets people discuss about your paper and lets them find artifacts about it (your model for instance) you can also claim the paper as yours which will show up on your public profile at HF.

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/better discoveraiblity. We can add tags in the model cards so that people find the models easier, link it to the paper page, etc.

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.

You can also build a demo to your model on Spaces we can provide you an A100 grant.

What do you think?

Kind regards,

Niels

yangyang-nus-lv commented 1 month ago

Hope everything is going well. I wanted to express my appreciation for your valuable work on MLLM demain. Additionally, we would greatly appreciate it if you could also share the associated datasets. Thanks a ton in advance

Jill0001 commented 4 weeks ago

Hello @Jill0001 šŸ¤—

I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work as it got featured by AK's daily papers: https://huggingface.co/papers/2410.01744. The paper page lets people discuss about your paper and lets them find artifacts about it (your model for instance) you can also claim the paper as yours which will show up on your public profile at HF.

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/better discoveraiblity. We can add tags in the model cards so that people find the models easier, link it to the paper page, etc.

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.

You can also build a demo to your model on Spaces we can provide you an A100 grant.

What do you think?

Kind regards,

Niels

Hi, Niels, Thanks for your attention! May I ask what I should do to huggingface Space? Are there any instructions?

NielsRogge commented 3 weeks ago

Hi,

Here's a guide: https://huggingface.co/docs/hub/en/spaces-sdks-gradio.

In case you need GPU hardware, we recommend ZeroGPU (which is shared A100 hardware among hundreds of Spaces): https://huggingface.co/zero-gpu-explorers.

Let me know if you need any help.