Feature Extraction
Transformers
PyTorch
English
dbeta
medical
cardiovascular
ecg
ecg-text representation learning
ecg-foundation-model
custom_code
Instructions to use Manhph2211/D-BETA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Manhph2211/D-BETA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Manhph2211/D-BETA", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Manhph2211/D-BETA", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Gated model You can list files but not access them
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