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# EfficientNet PyTorch
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### Update (June 29, 2019)
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### Update (July 31, 2019)
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_Upgrade the pip package with_`pip install --upgrade efficientnet-pytorch`
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The B6 and B7 models are now available. Additionally, _all_ pretrained models have been updated to use AutoAugment preprocessing, which translates to better performance across the board. Usage is the same as before:
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```python
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from efficientnet_pytorch import EfficientNet
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model = EfficientNet.from_pretrained('efficientnet-b7')
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```
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### Update (June 29, 2019)
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This update adds easy model exporting ([#20](https://github.com/lukemelas/EfficientNet-PyTorch/issues/20)) and feature extraction ([#38](https://github.com/lukemelas/EfficientNet-PyTorch/issues/38)).
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*[Example: Export to ONNX](#example-export)
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Copy file name to clipboardExpand all lines: tf_to_pytorch/README.md
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That being said, the main script here is `convert_to_tf/load_tf_weights.py`. In order to use it, you should first download the pretrained TensorFlow weights:
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