Unconditional Image Generation
Transformers
PyTorch
English
pulse2pulse-2
ECG
Synthetic ECG
custom_code
Instructions to use deepsynthbody/deepfake_ecg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepsynthbody/deepfake_ecg with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("deepsynthbody/deepfake_ecg", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 487fd9f477c17593613a69c7c8bba6e342a3b73035e99d563f701a6ba26c8c5d
- Size of remote file:
- 42.4 MB
- SHA256:
- e646eae78b7c9e48db0d38f094059ab89b53479bbc174a900ae3086517761827
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