litert-community / efficientnet_v2_s

huggingface.co
Total runs: 125
24-hour runs: 3
7-day runs: -4
30-day runs: -65
Model's Last Updated: Maio 15 2026
image-classification

Introduction of efficientnet_v2_s

Model Details of efficientnet_v2_s

EfficientNet V2 S

EfficientNet V2 S 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
@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}
}

Runs of litert-community efficientnet_v2_s on huggingface.co

125
Total runs
3
24-hour runs
7
3-day runs
-4
7-day runs
-65
30-day runs

More Information About efficientnet_v2_s huggingface.co Model

efficientnet_v2_s huggingface.co

efficientnet_v2_s huggingface.co is an AI model on huggingface.co that provides efficientnet_v2_s's model effect (), which can be used instantly with this litert-community efficientnet_v2_s model. huggingface.co supports a free trial of the efficientnet_v2_s model, and also provides paid use of the efficientnet_v2_s. Support call efficientnet_v2_s model through api, including Node.js, Python, http.

litert-community efficientnet_v2_s online free

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https://huggingface.co/litert-community/efficientnet_v2_s

efficientnet_v2_s install

efficientnet_v2_s is an open source model from GitHub that offers a free installation service, and any user can find efficientnet_v2_s on GitHub to install. At the same time, huggingface.co provides the effect of efficientnet_v2_s install, users can directly use efficientnet_v2_s installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

efficientnet_v2_s install url in huggingface.co:

https://huggingface.co/litert-community/efficientnet_v2_s

Url of efficientnet_v2_s

Provider of efficientnet_v2_s huggingface.co

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