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GarlTTC-model
NAIL-HNU/GarlTTC-model
GarlTTC-model is a machine learning model from NAIL-HNU. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for pytorch.
This repository stages checkpoints for the GarlTTC release.
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Public
Updated Jul 24, 2026
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.pth1.8 GB · 100%
At a glance
- Library
- pytorch
- Access
- Public
- Created
- Jun 28, 2026
- Updated
- Jul 24, 2026
- SHA
- b676fcda
Model card
From the Hugging Face model README
GarlTTC Model
This repository stages checkpoints for the GarlTTC release.
Dataset dependencies:
NAIL-HNU/eAP-datasetNAIL-HNU/GarlTTC-dataset
Primary checkpoint:
paper_ours_full.pth
Branch pretraining checkpoints:
paper_visual_only_lhr.pthpaper_event_only_lhr.pth
Reference metrics are stored in metrics/paper_test12.json. If a local release
verification run is available, its raw output can be staged as metrics/test.json.
Ablation checkpoints are included under ablation/ for paper table reproduction.
Use the matching YAML files under configs/ablation/.
- Library
- pytorch
- Created
- Jun 28, 2026
- Updated
- Jul 24, 2026