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DeepECG-Tok_EfficientNetV2_77_Classes

  • DeepECG-Tok_EfficientNetV2_77_Classes is a repository for the EfficientNetV2 weights that classify embeddings from DeepECG-Tok into 77 classes.

  • base_config.yaml file contains the parameters for the training and inference.

  • Paths to be updated:

    • base_checkpoint_path: path to the checkpoints directory
    • pretrained_tokenizer_path: path to the pretrained tokenizer checkpoint
    • inference_dataset_path: path to the inference dataset
    • inference_checkpoint_path: path to the inference checkpoint
  • To run inference, run the following command:

bash scripts/runner.sh --base_config config/linear_probing/base_config.yaml --selected_gpus 0,1 --use_wandb true --run_mode inference
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