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litert-community
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efficientnet_b5

Image Classification
LiteRT
LiteRT
vision
google
computer-vision
Eval Results (legacy)
Model card Files
xet
 Community
4
efficientnet_b5

Commit History

  1. Card: declare base_model_relation: quantized (#4)⁠

    Yoursmiling +1: mlboydaisuke
    31362c8

  1. Card: revert base_model_relation line added earlier today (repo not authored by me)

    mlboydaisuke
    Verified signature
    1609014

  2. Card: base_model_relation: quantized (list under the base model's Quantizations)

    mlboydaisuke
    Verified signature
    52f54b2

  1. Replace dynamic-range int8 with weight-only int8 (#3)⁠

    Yoursmiling +1: mlboydaisuke
    b84b5ee

  1. Upload efficientnet_b5_Google_Tensor_G5_apply_plugin.tflite with huggingface_hub

    jayanthank
    Verified signature
    b318a79

  1. Updated README.md (#2)⁠

    rodneywitcher +1: akashvverma1995
    5b6c94a

  1. Update README: Add model card metadata, ImageNet-1k metrics, and LiteRT usage example (#1)⁠

    snnn001 +1: akashvverma1995
    f6434c9

  1. Upload README.md with huggingface_hub

    snnn001
    Verified signature
    b6e59f0

  2. Upload README.md with huggingface_hub

    snnn001
    Verified signature
    b4f00f9

  3. Upload README.md with huggingface_hub

    snnn001
    Verified signature
    b95082e

  4. Initial model upload

    snnn001
    Verified signature
    3d189e7

  5. initial commit

    snnn001
    Verified signature
    8bd5847