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
Request to access the D-BETA model for academic research
#2 opened 28 days ago
by
you-Y
Add pipeline tag and library_name
#1 opened about 1 year ago
by
nielsr