smp-hub / mit_b5.imagenet

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Total runs: 589
24-hour runs: 0
7-day runs: 25
30-day runs: 83
Model's Last Updated: January 16 2025
image-classification

Introduction of mit_b5.imagenet

Model Details of mit_b5.imagenet

Model card for mit_b5.

This repository contains the imagenet pre-trained weights for the mit_b5 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("mit_b5", encoder_weights="imagenet")
References

Runs of smp-hub mit_b5.imagenet on huggingface.co

589
Total runs
0
24-hour runs
4
3-day runs
25
7-day runs
83
30-day runs

More Information About mit_b5.imagenet huggingface.co Model

More mit_b5.imagenet license Visit here:

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mit_b5.imagenet huggingface.co

mit_b5.imagenet huggingface.co is an AI model on huggingface.co that provides mit_b5.imagenet's model effect (), which can be used instantly with this smp-hub mit_b5.imagenet model. huggingface.co supports a free trial of the mit_b5.imagenet model, and also provides paid use of the mit_b5.imagenet. Support call mit_b5.imagenet model through api, including Node.js, Python, http.

mit_b5.imagenet huggingface.co Url

https://huggingface.co/smp-hub/mit_b5.imagenet

smp-hub mit_b5.imagenet online free

mit_b5.imagenet huggingface.co is an online trial and call api platform, which integrates mit_b5.imagenet's modeling effects, including api services, and provides a free online trial of mit_b5.imagenet, you can try mit_b5.imagenet online for free by clicking the link below.

smp-hub mit_b5.imagenet online free url in huggingface.co:

https://huggingface.co/smp-hub/mit_b5.imagenet

mit_b5.imagenet install

mit_b5.imagenet is an open source model from GitHub that offers a free installation service, and any user can find mit_b5.imagenet on GitHub to install. At the same time, huggingface.co provides the effect of mit_b5.imagenet install, users can directly use mit_b5.imagenet installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

mit_b5.imagenet install url in huggingface.co:

https://huggingface.co/smp-hub/mit_b5.imagenet

Url of mit_b5.imagenet

mit_b5.imagenet huggingface.co Url

Provider of mit_b5.imagenet huggingface.co

smp-hub
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