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clipkd-released-ViT-T-16-baseline-cc12m – AI Model by fassabilf | AlphaNeural AI | AlphaNeural AI

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fassabilf/
clipkd-released-ViT-T-16-baseline-cc12m

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knowledge-distillation

zero-shot-image-classification

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Model card for clipkd-released-ViT-T-16-baseline-cc12m

ViT-T/16 baseline student trained on CC3M+12M (no KD). ImageNet acc: 30.55%

Model Details

Architecture: ViT-T-16
Method: CLIP-KD
Training Data: CC3M+CC12M
ImageNet Top-1: 30.6%
Original Repo: https://github.com/winycg/CLIP-KD
Paper: CLIP-KD: An Empirical Study of CLIP Model Distillation (CVPR 2024)

Model Usage

python

import open_clip

model, _, preprocess = open_clip.create_model_and_transforms(
    'hf-hub:fassabilf/clipkd-released-ViT-T-16-baseline-cc12m'
)
tokenizer = open_clip.get_tokenizer('hf-hub:fassabilf/clipkd-released-ViT-T-16-baseline-cc12m')