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image-feature-extraction

facebook/dinov2-base

facebook/dinov2-base is a image feature extraction model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

ParametersUnknown
Downloads3,081,152
Likes195
Licenseapache-2.0
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

Likely commercial-friendly

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ORIGINAL SOURCE

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SIMILAR OPTIONS

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image-feature-extraction

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facebook/dinov2-base

facebook/dinov2-base 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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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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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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