metadata
license: other
license_name: apache-license-2.0
license_link: https://github.com/google/automl/blob/master/LICENSE
pipeline_tag: image-classification
library_name: executorch
efficientnet-v2-s
This repository hosts the efficientnet-v2-s models exported for the
React Native ExecuTorch
library as ExecuTorch .pte programs, ready to run on device.
Upstream model: efficientnet_v2_s
Variants
| Path | Backend | Precision |
|---|---|---|
coreml/efficientnet_v2_s_coreml_fp16.pte |
coreml | fp16 |
xnnpack/efficientnet_v2_s_xnnpack_fp32.pte |
xnnpack | fp32 |
xnnpack/efficientnet_v2_s_xnnpack_int8.pte |
xnnpack | int8 |
Unshipped backends
A backend directory carrying a NOTES.md and no .pte was exported and
not published. Its note records what went wrong.
mlx(why)
Repository structure
config.json 39 B
coreml/config.json 840 B
coreml/efficientnet_v2_s_coreml_fp16.pte 41.8 MB
mlx/NOTES.md 2.5 kB
xnnpack/config.json 1.4 kB
xnnpack/efficientnet_v2_s_xnnpack_fp32.pte 81.7 MB
xnnpack/efficientnet_v2_s_xnnpack_int8.pte 21.9 MB
Compatibility
These files are published for the ExecuTorch v1.4.1 runtime. ExecuTorch gives no forward compatibility guarantee, so an older runtime may fail to load them.
To use them in React Native ExecuTorch, pass the model constant shipped in the library's model registry to the corresponding task pipeline. See the documentation.
To load these files in your own ExecuTorch runtime, read the compatibility note first.