rsicproject / efficientnet-vit

huggingface.co
Total runs: 1
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: April 22 2025

Introduction of efficientnet-vit

Model Details of efficientnet-vit

efficientnet-vit

This model was trained from scratch on an unknown dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure
Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 5e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 3.0
Framework versions
  • Transformers 4.47.0
  • Pytorch 2.5.1+cu124
  • Datasets 3.1.0
  • Tokenizers 0.21.0

Runs of rsicproject efficientnet-vit on huggingface.co

1
Total runs
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3-day runs
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7-day runs
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More Information About efficientnet-vit huggingface.co Model

efficientnet-vit huggingface.co

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

rsicproject efficientnet-vit online free

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

rsicproject efficientnet-vit online free url in huggingface.co:

https://huggingface.co/rsicproject/efficientnet-vit

efficientnet-vit install

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

efficientnet-vit install url in huggingface.co:

https://huggingface.co/rsicproject/efficientnet-vit

Url of efficientnet-vit

efficientnet-vit huggingface.co Url

Provider of efficientnet-vit huggingface.co

rsicproject
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