🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
其他人工智能更新于 2026-10-25
其他人工智能Apache-2.0
Repository dossier
huggingface/pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
Brief / README 摘要
查看原文What's New Introduction Models Features Results Getting Started (Documentation) Train, Validation, Inference Scripts Awesome PyTorch Resources Licenses Citing Hyperparameter sweeps via a new sweep.py: grid / random search over any train.py argument, one effective --config per job, run on a pool of local GPUs and resumable. WSD sweeps train one stable trunk per hyperparameter combination and branch independent cooldowns from its milestone checkpoints, comparing annealing at several budgets for a fraction of the cost of full runs. See the training docs. train.py: --resume auto resumes in place f…
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