Object Detection
Collection
4 items • Updated
This repository hosts the yolo26 models exported for the
React Native ExecuTorch
library as ExecuTorch .pte programs, ready to run on device.
Upstream model: Yolo26
| Path | Backend | Precision |
|---|---|---|
l/coreml/yolo26l_384_coreml_fp16.pte |
coreml | fp16 |
l/coreml/yolo26l_512_coreml_fp16.pte |
coreml | fp16 |
l/coreml/yolo26l_640_coreml_fp16.pte |
coreml | fp16 |
l/xnnpack/yolo26l_384_xnnpack_fp32.pte |
xnnpack | fp32 |
l/xnnpack/yolo26l_512_xnnpack_fp32.pte |
xnnpack | fp32 |
l/xnnpack/yolo26l_640_xnnpack_fp32.pte |
xnnpack | fp32 |
m/coreml/yolo26m_384_coreml_fp16.pte |
coreml | fp16 |
m/coreml/yolo26m_512_coreml_fp16.pte |
coreml | fp16 |
m/coreml/yolo26m_640_coreml_fp16.pte |
coreml | fp16 |
m/xnnpack/yolo26m_384_xnnpack_fp32.pte |
xnnpack | fp32 |
m/xnnpack/yolo26m_512_xnnpack_fp32.pte |
xnnpack | fp32 |
m/xnnpack/yolo26m_640_xnnpack_fp32.pte |
xnnpack | fp32 |
n/coreml/yolo26n_384_coreml_fp16.pte |
coreml | fp16 |
n/coreml/yolo26n_512_coreml_fp16.pte |
coreml | fp16 |
n/coreml/yolo26n_640_coreml_fp16.pte |
coreml | fp16 |
n/xnnpack/yolo26n_384_xnnpack_fp32.pte |
xnnpack | fp32 |
n/xnnpack/yolo26n_512_xnnpack_fp32.pte |
xnnpack | fp32 |
n/xnnpack/yolo26n_640_xnnpack_fp32.pte |
xnnpack | fp32 |
s/coreml/yolo26s_384_coreml_fp16.pte |
coreml | fp16 |
s/coreml/yolo26s_512_coreml_fp16.pte |
coreml | fp16 |
s/coreml/yolo26s_640_coreml_fp16.pte |
coreml | fp16 |
s/xnnpack/yolo26s_384_xnnpack_fp32.pte |
xnnpack | fp32 |
s/xnnpack/yolo26s_512_xnnpack_fp32.pte |
xnnpack | fp32 |
s/xnnpack/yolo26s_640_xnnpack_fp32.pte |
xnnpack | fp32 |
x/coreml/yolo26x_384_coreml_fp16.pte |
coreml | fp16 |
x/coreml/yolo26x_512_coreml_fp16.pte |
coreml | fp16 |
x/coreml/yolo26x_640_coreml_fp16.pte |
coreml | fp16 |
x/xnnpack/yolo26x_384_xnnpack_fp32.pte |
xnnpack | fp32 |
x/xnnpack/yolo26x_512_xnnpack_fp32.pte |
xnnpack | fp32 |
x/xnnpack/yolo26x_640_xnnpack_fp32.pte |
xnnpack | fp32 |
A backend directory carrying a NOTES.md and no .pte was exported and
not published. Its note records what went wrong.
config.json 28 B
l/coreml/config.json 2.6 kB
l/coreml/yolo26l_384_coreml_fp16.pte 48.5 MB
l/coreml/yolo26l_512_coreml_fp16.pte 48.5 MB
l/coreml/yolo26l_640_coreml_fp16.pte 48.5 MB
l/mlx/NOTES.md 2.5 kB
l/xnnpack/config.json 2.6 kB
l/xnnpack/yolo26l_384_xnnpack_fp32.pte 94.9 MB
l/xnnpack/yolo26l_512_xnnpack_fp32.pte 94.9 MB
l/xnnpack/yolo26l_640_xnnpack_fp32.pte 95.0 MB
m/coreml/config.json 2.6 kB
m/coreml/yolo26m_384_coreml_fp16.pte 39.8 MB
m/coreml/yolo26m_512_coreml_fp16.pte 39.8 MB
m/coreml/yolo26m_640_coreml_fp16.pte 39.8 MB
m/mlx/NOTES.md 2.5 kB
m/xnnpack/config.json 2.6 kB
m/xnnpack/yolo26m_384_xnnpack_fp32.pte 78.1 MB
m/xnnpack/yolo26m_512_xnnpack_fp32.pte 78.1 MB
m/xnnpack/yolo26m_640_xnnpack_fp32.pte 78.1 MB
n/coreml/config.json 2.6 kB
n/coreml/yolo26n_384_coreml_fp16.pte 5.4 MB
n/coreml/yolo26n_512_coreml_fp16.pte 5.4 MB
n/coreml/yolo26n_640_coreml_fp16.pte 5.4 MB
n/mlx/NOTES.md 2.5 kB
n/xnnpack/config.json 2.6 kB
n/xnnpack/yolo26n_384_xnnpack_fp32.pte 9.4 MB
n/xnnpack/yolo26n_512_xnnpack_fp32.pte 9.4 MB
n/xnnpack/yolo26n_640_xnnpack_fp32.pte 9.4 MB
s/coreml/config.json 2.6 kB
s/coreml/yolo26s_384_coreml_fp16.pte 18.9 MB
s/coreml/yolo26s_512_coreml_fp16.pte 18.9 MB
s/coreml/yolo26s_640_coreml_fp16.pte 18.9 MB
s/mlx/NOTES.md 2.5 kB
s/xnnpack/config.json 2.6 kB
s/xnnpack/yolo26s_384_xnnpack_fp32.pte 36.4 MB
s/xnnpack/yolo26s_512_xnnpack_fp32.pte 36.4 MB
s/xnnpack/yolo26s_640_xnnpack_fp32.pte 36.5 MB
x/coreml/config.json 2.6 kB
x/coreml/yolo26x_384_coreml_fp16.pte 108 MB
x/coreml/yolo26x_512_coreml_fp16.pte 108 MB
x/coreml/yolo26x_640_coreml_fp16.pte 108 MB
x/mlx/NOTES.md 2.5 kB
x/xnnpack/config.json 2.6 kB
x/xnnpack/yolo26x_384_xnnpack_fp32.pte 213 MB
x/xnnpack/yolo26x_512_xnnpack_fp32.pte 213 MB
x/xnnpack/yolo26x_640_xnnpack_fp32.pte 213 MB
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.