Audio Classification
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Eval Results (legacy)
Instructions to use Hemg/dangerous-heartbeat-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hemg/dangerous-heartbeat-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Hemg/dangerous-heartbeat-detection")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Hemg/dangerous-heartbeat-detection") model = AutoModelForAudioClassification.from_pretrained("Hemg/dangerous-heartbeat-detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Mar31_02-33-30_2a328889baa5
- Mar31_02-37-22_2a328889baa5
- Mar31_02-50-17_2a328889baa5
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- Mar31_03-14-17_2a328889baa5
- Mar31_03-16-54_2a328889baa5
- Mar31_03-24-34_2a328889baa5
- Mar31_03-29-18_2a328889baa5
- Mar31_03-43-55_2a328889baa5
- Mar31_03-58-21_2a328889baa5
- Mar31_04-06-51_2a328889baa5
- Mar31_04-10-47_2a328889baa5
- Mar31_04-15-48_2a328889baa5