| library_name: litert | |
| tags: | |
| - vision | |
| - image-classification | |
| datasets: | |
| - imagenet-1k | |
| base_model: | |
| - google/efficientnet-b2 | |
| # EfficientNet B2 | |
| EfficientNet B2 model pre-trained on ImageNet-1k. | |
| ## Intended uses & limitations | |
| The model files were converted from pretrained weights from PyTorch Vision. The models may have their own licenses or terms and conditions derived from PyTorch Vision and the dataset used for training. It is your responsibility to determine whether you have permission to use the models for your use case. | |
| ### BibTeX entry and citation info | |
| ```bibtex | |
| @article{Tan2019EfficientNetRM, | |
| title={EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks}, | |
| author={Mingxing Tan and Quoc V. Le}, | |
| journal={ArXiv}, | |
| year={2019}, | |
| volume={abs/1905.11946} | |
| } | |
| ``` | |