Image Classification
timm
PyTorch
vision-transformer
knowledge-distillation
feature-distillation
model-compression
interpretability
explainability
representation-analysis
encoding-mismatch
spectral-energy-pattern
spectral-kd
low-rank
pca
svd
deit-tiny
distilled-deit-tiny
cait-s24
lift
widelast
icml-2026
Eval Results (legacy)
Instructions to use Huiyuancs/Encoding_Mismatch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use Huiyuancs/Encoding_Mismatch with timm:
import timm model = timm.create_model("hf_hub:Huiyuancs/Encoding_Mismatch", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 964a97307681668cf7854bd69cebb26e893f296dabf131ff7d22afedb24ba7e5
- Size of remote file:
- 97.5 MB
- SHA256:
- 6cb00f641e636ec93f4677ef8afc63bd8572b9a46758804733f90151994077b9
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