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README.md
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---
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license:
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datasets:
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- ILSVRC/imagenet-1k
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pipeline_tag: image-classification
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@@ -21,19 +21,18 @@ Please see https://huggingface.co/docs/transformers/main/en/model_doc/efficientn
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# Repository or links references
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- https://pytorch.org/vision/stable/models/generated/torchvision.models.efficientnet_b0.html#torchvision.models.efficientnet_b0
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BibTeX entry and citation info
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```
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@article{DBLP:journals/corr/abs-1905-11946,
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author = {Mingxing Tan and
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Quoc V. Le},
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title = {EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks},
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journal = {CoRR},
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volume = {abs/1905.11946},
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year = {2019},
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url = {http://arxiv.org/abs/1905.11946},
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eprinttype
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eprint = {1905.11946},
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timestamp = {Mon, 03 Jun 2019 13:42:33 +0200},
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biburl = {https://dblp.org/rec/journals/corr/abs-1905-11946.bib},
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---
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license: apache-2.0
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datasets:
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- ILSVRC/imagenet-1k
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pipeline_tag: image-classification
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# Repository or links references
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- [PyTorch | TorchVision](https://pytorch.org/vision/stable/models/generated/torchvision.models.efficientnet_b0.html#torchvision.models.efficientnet_b0)
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BibTeX entry and citation info
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```
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@article{DBLP:journals/corr/abs-1905-11946,
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author = {Mingxing Tan and Quoc V. Le},
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title = {EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks},
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journal = {CoRR},
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volume = {abs/1905.11946},
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year = {2019},
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url = {http://arxiv.org/abs/1905.11946},
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eprinttype = {arXiv},
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eprint = {1905.11946},
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timestamp = {Mon, 03 Jun 2019 13:42:33 +0200},
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biburl = {https://dblp.org/rec/journals/corr/abs-1905-11946.bib},
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