facebook/sapiens2-pretrain-1b
facebook/sapiens2-pretrain-1b is a image feature extraction model indexed for deployment research. Estimated minimum GPU memory is 6 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 →More image-feature-extraction models
facebook/sapiens2-pretrain-0.4b
facebook/sapiens2-pretrain-0.4b is a image feature extraction model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
facebook/sapiens2-pretrain-0.1b
facebook/sapiens2-pretrain-0.1b is a image feature extraction model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
facebook/sapiens2-pretrain-1b
facebook/sapiens2-pretrain-1b is a image feature extraction model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.
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facebook/sapiens2-pretrain-0.8b is a image feature extraction model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
MTGxTHOR/Agri-VLM-1.5B-Mobile-Native
MTGxTHOR/Agri-VLM-1.5B-Mobile-Native is a image feature extraction model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.
Operate a GPU cloud or inference API?
Reach developers after they have selected a model and are ready to run it.