smp-hub / efficientnet-b3.imagenet

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Total runs: 17.3K
24-hour runs: 0
7-day runs: -1.6K
30-day runs: -120.5K
Model's Last Updated: January 16 2025
image-classification

Introduction of efficientnet-b3.imagenet

Model Details of efficientnet-b3.imagenet

Model card for efficientnet-b3.

This repository contains the imagenet pre-trained weights for the efficientnet-b3 model used as encoder in the segmentation-models-pytorch library.

Example usage:
  1. Install the library:
pip install segmentation-models-pytorch
  1. Use the encoder in your code:
import segmentation_models_pytorch as smp

model = smp.Unet("efficientnet-b3", encoder_weights="imagenet")
References

Runs of smp-hub efficientnet-b3.imagenet on huggingface.co

17.3K
Total runs
0
24-hour runs
960
3-day runs
-1.6K
7-day runs
-120.5K
30-day runs

More Information About efficientnet-b3.imagenet huggingface.co Model

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efficientnet-b3.imagenet huggingface.co

efficientnet-b3.imagenet huggingface.co is an AI model on huggingface.co that provides efficientnet-b3.imagenet's model effect (), which can be used instantly with this smp-hub efficientnet-b3.imagenet model. huggingface.co supports a free trial of the efficientnet-b3.imagenet model, and also provides paid use of the efficientnet-b3.imagenet. Support call efficientnet-b3.imagenet model through api, including Node.js, Python, http.

efficientnet-b3.imagenet huggingface.co Url

https://huggingface.co/smp-hub/efficientnet-b3.imagenet

smp-hub efficientnet-b3.imagenet online free

efficientnet-b3.imagenet huggingface.co is an online trial and call api platform, which integrates efficientnet-b3.imagenet's modeling effects, including api services, and provides a free online trial of efficientnet-b3.imagenet, you can try efficientnet-b3.imagenet online for free by clicking the link below.

smp-hub efficientnet-b3.imagenet online free url in huggingface.co:

https://huggingface.co/smp-hub/efficientnet-b3.imagenet

efficientnet-b3.imagenet install

efficientnet-b3.imagenet is an open source model from GitHub that offers a free installation service, and any user can find efficientnet-b3.imagenet on GitHub to install. At the same time, huggingface.co provides the effect of efficientnet-b3.imagenet install, users can directly use efficientnet-b3.imagenet installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

efficientnet-b3.imagenet install url in huggingface.co:

https://huggingface.co/smp-hub/efficientnet-b3.imagenet

Url of efficientnet-b3.imagenet

efficientnet-b3.imagenet huggingface.co Url

Provider of efficientnet-b3.imagenet huggingface.co

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