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Hello all,

I am a PyTorch user I work in CV, I usually use the PyTorch models. However, I see people use timm in research papers to train their models I don't understand what it is timm is it a new framework like PyTorch? Further, when I click https://pypi.org/project/timm/ homepage it takes me to hugging face GitHub https://github.com/huggingface/pytorch-image-models is there any connection between timm and hugging face many of my friends use hugging face but I also don't know about hugging face I use simple PyTorch and torchvision.models.

If you have any resources to understand about timm please let me know. Please state also the advantages of using timm and hugging face against PyTorch.

Hello everone,

I am writing a paper that is related to the ViT training on a small dataset. My paper is inspired by the 'Efficient Training of Visual Transformers with Small Datasets' and 'Training data-efficient image transformers & distillation through attention'.

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Is it okay to copy the pattern of the paper? like what they have described in the intro section. Same for other sections just pattern not content.

Further is it also ok to copy the heading? like I am also conducting similar experiments I want to mention similar headings from the base paper like 'Training from scratch' and 'Fine tunning' in the experiment section.