Hi @thuiar 馃
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://hf.co/papers/2603.03827.
The paper page lets people discuss about your paper and lets them find artifacts about it (your models for instance), and you can also claim the paper as yours which will show up on your public profile at HF.
I saw that you have released the code for HIER on GitHub. Would you like to host the fine-tuned model checkpoints (the LoRA adapters) on https://huggingface.co/models?
Since you are using the LLaMA-Factory framework with Qwen2-VL, it is very straightforward to share the adapter weights. Hosting them on Hugging Face will give your work much more visibility and enable better discoverability. We can add metadata tags so that people can easily find your work when filtering for multimodal intent recognition.
If you're down, leaving a guide here. 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 @thuiar 馃
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://hf.co/papers/2603.03827.
The paper page lets people discuss about your paper and lets them find artifacts about it (your models for instance), and you can also claim the paper as yours which will show up on your public profile at HF.
I saw that you have released the code for HIER on GitHub. Would you like to host the fine-tuned model checkpoints (the LoRA adapters) on https://huggingface.co/models?
Since you are using the LLaMA-Factory framework with Qwen2-VL, it is very straightforward to share the adapter weights. Hosting them on Hugging Face will give your work much more visibility and enable better discoverability. We can add metadata tags so that people can easily find your work when filtering for multimodal intent recognition.
If you're down, leaving a guide here. 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