Upload folder using huggingface_hub
Browse files- .gitattributes +2 -0
- CNN-LSTM.keras +3 -0
- README.md +9 -3
- R_detection.h5 +3 -0
- TCN.keras +3 -0
- ecg_multi_class_model.pkl +3 -0
- mlp_normal_vs_abnormal_model.pkl +3 -0
- normal_vs_abnormal_model.pkl +3 -0
- others/sinus arrhythmia_vs_else_model.pkl +3 -0
- others/sinus_tachycardia_vs_else_model.pkl +3 -0
- others/supraventricular_tachycardia_vs_else_model.pkl +3 -0
- sb_vs_else_model.pkl +3 -0
- unet1d_ecg_qrs.pth +3 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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CNN-LSTM.keras filter=lfs diff=lfs merge=lfs -text
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TCN.keras filter=lfs diff=lfs merge=lfs -text
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CNN-LSTM.keras
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version https://git-lfs.github.com/spec/v1
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README.md
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# Install the Hugging Face CLI
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pip install -U "huggingface_hub[cli]"
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# Login with your Hugging Face credentials
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huggingface-cli login
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# Push your model files
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huggingface-cli upload ab2-gbl/ECG_segmentation_using_U-Net .
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R_detection.h5
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TCN.keras
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ecg_multi_class_model.pkl
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mlp_normal_vs_abnormal_model.pkl
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normal_vs_abnormal_model.pkl
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others/sinus arrhythmia_vs_else_model.pkl
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others/sinus_tachycardia_vs_else_model.pkl
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others/supraventricular_tachycardia_vs_else_model.pkl
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sb_vs_else_model.pkl
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unet1d_ecg_qrs.pth
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