MEby Meta FAIR-Edge
Mask2Former-Mobile
4%Mobile-class panoptic segmenter. The reference for surgical, factory and medical pipelines.
SegmentationMITINT8FP16panoptictransformer
64K downloads 3.1K deploymentsUpdated Jan 21, 2028
Headline:12.4ms · NVIDIA Jetson Thor · FP16
Deploy Mask2Former-Mobile
Pick a chip family. We hand you the artifacts (HEF, TRT engine, Core ML, ONNX) plus a one-click endpoint deploy. For private endpoints, on-prem deploy, or air-gapped distribution, see Enterprise.
NNVIDIA Jetson AGX Orin
# Build a TensorRT engine
$ focsle pull meta-fair-edge/mask2former-mobile --target jetson-agx-orin
$ focsle build trt --plan mask2former-mobile.plan \
--precision fp16 \
--workspace 4G
# Run with TensorRT
import focsle.runtime as fr
m = fr.load("mask2former-mobile.plan", target="trt")
out = m.run(frame)One-click endpoint
Spins up a managed endpoint in the closest region. Pro and above.