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
File size: 287 Bytes
bc31fc1 a59557a bc31fc1 | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"architectures": [
"AutoModel"
],
"auto_map": {
"AutoConfig": "configurations_deepfake.DeepFakeConfig",
"AutoModel": "modeling_deepfake.DeepFakeECGFromPulse2Pulse"
},
"model_type": "pulse2pulse-2",
"torch_dtype": "float32",
"transformers_version": "4.26.1"
}
|