Instructions to use litert-community/efficientnet_b2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use litert-community/efficientnet_b2 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
Download efficientnet_b2_Google_Tensor_G5_apply_plugin.tflite from litert-community/efficientnet_b2: direct link, hf CLI and curl.
- Browser
- Download file 23.1 MB
-
https://huggingface.co/litert-community/efficientnet_b2/resolve/refs%2Fpr%2F4/efficientnet_b2_Google_Tensor_G5_apply_plugin.tflite
- Command line
-
hf download hf://litert-community/efficientnet_b2@refs/pr/4/efficientnet_b2_Google_Tensor_G5_apply_plugin.tflite
-
curl -L -o efficientnet_b2_Google_Tensor_G5_apply_plugin.tflite https://huggingface.co/litert-community/efficientnet_b2/resolve/refs%2Fpr%2F4/efficientnet_b2_Google_Tensor_G5_apply_plugin.tflite
23.1 MB
- Xet hash:
- bf71b8c5872af64705f3cbc845da15d975e7cb1309c896825bb8be69dd751549
- Size of remote file:
- 23.1 MB
- SHA256:
- c460439ac5f95f18b8000a1b08af5385ec239c6ca8a41ff723e56f49f131c9ba
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