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timm/resnet50x4_clip_gap.openai

int8_embedl_tensorrt
timm resnet50x4_clip_gap.openai architecture graph
timm resnet50x4_clip_gap.openai architecture graph
  • timm/resnet50x4_clip_gap.openai
  • INT8
  • L4
Labels
  • Image
Build
Embedl-optimized
Precision
INT8
Runtime
TensorRT 11.3.0.99 with Embedl optimizations
Input size
288×288

resnet50x4_clip_gap.openai is an image encoder from timm: it turns an image into a 2,560-dimensional embedding, for search, retrieval and as features for other models.

Files

Image Size

Model

docker.io/embedl/model-artifacts:resnet50x4_clip_gap.openai-timm_int8_embedl_tensorrt_l4.c7fd9cf4c7bc17d1

0.50 GiB

Runtime

docker.io/embedl/models:runtimes.tensorrt.amd64.2026101815014ee0

0.52 GiB