Fine-Tune ViT for Image Classification with 🤗 Transformers

look, fine-tuning ViT for vision tasks is just the standard pipeline now. it’s not magic; it’s just leveraging massive pre-trained weights. the real cost isn't the fine-tuning itself, it's managing the GPU memory for those large models. if you don't have access to decent VRAM, you're just wasting compute cycles on an expensive setup. it’s mainstream, so don't chase hype, chase deployment efficiency.

we're just applying existing knowledge; stop trying to reinvent the wheel with custom architectures unless you've got a massive dataset to justify the overhead.