Hi @yausankit 馃
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work on Arxiv and was wondering whether you would like to submit it to hf.co/papers to improve its discoverability.If you are one of the authors, you can submit it at https://huggingface.co/papers/submit.
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.
Would you like to host the model you've fine-trained (the Stepwise Syntax Integration Tuning adapters for Qwen and Llama) on https://huggingface.co/models?
Hosting on Hugging Face will give you more visibility/enable better discoverability. We can add tags in the model cards (like aspect-based-sentiment-analysis or text-generation) so that people find the models easier, link it to the paper page, etc.
If you're down, leaving a guide here. Since you are using LLMs, you can use the PyTorchModelHubMixin or directly leverage the transformers / peft libraries to upload and download your models right away.
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 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 @yausankit 馃
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work on Arxiv and was wondering whether you would like to submit it to hf.co/papers to improve its discoverability.If you are one of the authors, you can submit it at https://huggingface.co/papers/submit.
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.
Would you like to host the model you've fine-trained (the Stepwise Syntax Integration Tuning adapters for Qwen and Llama) on https://huggingface.co/models?
Hosting on Hugging Face will give you more visibility/enable better discoverability. We can add tags in the model cards (like
aspect-based-sentiment-analysisortext-generation) so that people find the models easier, link it to the paper page, etc.If you're down, leaving a guide here. Since you are using LLMs, you can use the PyTorchModelHubMixin or directly leverage the
transformers/peftlibraries to upload and download your models right away.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 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