地址链接:https://www.flyai.com/m/tf_efficientnet_b3_ns-9d44bf68.pth
确定自己使用的框架并导入对应的库。导入库实现样例代码可参考 文档中心-预训练模型使用教程
在代码中实现加载预训练模型地址
from flyai.utils import remote_helper
path = remote_helper.get_remote_data('https://www.flyai.com/m/tf_efficientnet_b3_ns-9d44bf68.pth')
tf_efficientnet_b3_ns-9d44bf68.pth
查看来源:https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights/tf_efficientnet_b3_ns-9d44bf68.pthefficientnet-b4_weights_tf_dim_ordering_tf_kernels.h5
查看来源:https://github.com/Callidior/keras-applications/releases/download/efficientnet/efficientnet-b4_weights_tf_dim_ordering_tf_kernels_autoaugment_notop.h5efficientnet-b3_weights_tf_dim_ordering_tf_kernels.h5
查看来源:https://github.com/Callidior/keras-applications/releases/download/efficientnet/efficientnet-b3_weights_tf_dim_ordering_tf_kernels_autoaugment_notop.h5efficientnet-b2_weights_tf_dim_ordering_tf_kernels.h5
查看来源:https://github.com/Callidior/keras-applications/releases/download/ficientnet/ficientnet-b2_weights_tf_dim_ordering_tf_kernels_autoaugment_notop.h5