Instructions to use hellothisisaswin/ecg-ptbxl-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use hellothisisaswin/ecg-ptbxl-classification with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://hellothisisaswin/ecg-ptbxl-classification") - Notebooks
- Google Colab
- Kaggle
File size: 121 Bytes
1e1abc0 | 1 2 3 4 5 6 7 | {
"NORM": 0.44000000000000006,
"MI": 0.35000000000000003,
"STTC": 0.33,
"CD": 0.26000000000000006,
"HYP": 0.2
} |