Model card for deit base patch16 224.fb in1k A DeiT image classification model. Trained on ImageNet 1k by paper authors. Model Details Model Type: Image classification / feature backbone Model Stats: Params (M): 86.6 GMACs: 17.6 Activations (M): 23.9 Image size: 224 x 224 Papers: Training data efficient image transformers & distillation through attention: https://arxiv.org/abs/2012.12877 Original: https://github.com/facebookresearch/deit Dataset: ImageNet 1k Model Usage Image Classification Image Embeddings Model Comparison Explore the dataset and runtime metrics of this model in timm model results. Citation
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy