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niuxiangqi/vit-b32-cifar100-review
vit-b32-cifar100-review is a image classification model from niuxiangqi. Use it when you need a label for an image.
This private repository contains the model artifacts supplied for anonymous peer review.
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Updated Jul 28, 2026
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From the Hugging Face model README
This private repository contains the model artifacts supplied for anonymous peer review.
weights/model_0.pt through weights/model_71.pt: 72 individual
ViT-B/32 checkpoints.metadata/hparam_info.json: per-model training hyperparameters.metadata/individual_model_result.json: per-model train, calibration,
and test accuracy.training_logs/model_0.txt through training_logs/model_71.txt:
sanitized training logs.release_manifest.json: machine-readable file inventory.model_0 is the LP-initialization reference checkpoint. The other models
use the hyperparameters recorded in metadata/hparam_info.json.
The checkpoints are for CIFAR-100, with 100 output classes.
Author names, affiliations, local paths, hostnames, email addresses, and external experiment-tracking links have been removed from the released text metadata. Original local files were not modified.
The exact model-construction code and evaluation entry point should be provided in the anonymous code repository associated with the submission. Load these files only in an environment where PyTorch checkpoint files are trusted.