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image-feature-extraction

nvidia/C-RADIOv4-1D-H

nvidia/C-RADIOv4-1D-H is a image feature extraction model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

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ParametersUnknown
Downloads1,082
Likes7
Licenseother
Librarytransformers
Hardware tierConsumer
DEPLOYMENT NOTES

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  • 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.
LICENSE SIGNAL

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License metadata is an index signal, not legal advice. Follow the repository license and any model-specific acceptable-use terms.

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ORIGINAL SOURCE

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SIMILAR OPTIONS

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facebook/dinov2-base

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google/vit-base-patch16-224-in21k

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timm/vit_small_patch14_dinov2.lvd142m

timm/vit_small_patch14_dinov2.lvd142m is a image feature extraction model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

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camenduru/dinov3-vitl16-pretrain-lvd1689m

camenduru/dinov3-vitl16-pretrain-lvd1689m is a image feature extraction model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

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gberton/MegaLoc

gberton/MegaLoc is a image feature extraction model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

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