Instructions to use litert-community/efficientnet_b5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use litert-community/efficientnet_b5 with LiteRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 82523f8df68b99079a0f14a319262c1b1c8625610972ecde4a951af4bff4f83f
- Size of remote file:
- 122 MB
- SHA256:
- 6ab1b235ac0ecba2e85202e2d9726e375ae05d35bc5a85058fd9186b8ef4a0b0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.