Instructions to use ab2-gbl/ECG_Rdetection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use ab2-gbl/ECG_Rdetection with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://ab2-gbl/ECG_Rdetection") - Notebooks
- Google Colab
- Kaggle
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Download README.md from ab2-gbl/ECG_Rdetection: direct link, hf CLI and curl.
- Browser
- Download file 116 Bytes
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https://huggingface.co/ab2-gbl/ECG_Rdetection/resolve/main/README.md
- Command line
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hf download hf://ab2-gbl/ECG_Rdetection/README.md
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curl -L -o README.md https://huggingface.co/ab2-gbl/ECG_Rdetection/resolve/main/README.md
116 Bytes
| license: apache-2.0 | |
| metrics: | |
| - accuracy | |
| pipeline_tag: image-segmentation | |
| library_name: keras | |
| tags: | |
| - medical | |