← Model index
image-segmentation
facebook/sapiens2-seg-0.4b
facebook/sapiens2-seg-0.4b is a image segmentation model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
What to verify before deployment
- Confirm the exact weight format and quantization.
- Measure memory at your intended context or image size.
- Review model-card limitations and evaluation methodology.
- Test latency and throughput on your target runtime.
Human review required
License metadata is an index signal, not legal advice. Follow the repository license and any model-specific acceptable-use terms.
Verify at the source →SIMILAR OPTIONS
More image-segmentation models
image-segmentation
facebook/sapiens2-seg-0.4b
facebook/sapiens2-seg-0.4b is a image segmentation model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
↓ 37,786♡ 3
400M4 GB+ VRAMother
Deployment details →
image-segmentation
facebook/sapiens2-seg-0.8b
facebook/sapiens2-seg-0.8b is a image segmentation model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
↓ 610♡ 3
800M4 GB+ VRAMother
Deployment details →
Operate a GPU cloud or inference API?
Reach developers after they have selected a model and are ready to run it.