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, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "AutoModel" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "configurations_deepfake.DeepFakeConfig", | |
| "AutoModel": "modeling_deepfake.DeepFakeECGFromPulse2Pulse" | |
| }, | |
| "model_type": "pulse2pulse-2", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.26.1" | |
| } | |