Tabular Regression
Keras
Joblib
English
battery
state-of-health
partial-discharge
regression
external-validation
data-leakage
Instructions to use NeerajCodz/aiBatteryLifeCycle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use NeerajCodz/aiBatteryLifeCycle 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://NeerajCodz/aiBatteryLifeCycle") - Notebooks
- Google Colab
- Kaggle
Download v2/reports/validation_report.html from NeerajCodz/aiBatteryLifeCycle: direct link, hf CLI and curl.
- Browser
- Download file 0 Bytes
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https://huggingface.co/NeerajCodz/aiBatteryLifeCycle/resolve/main/v2/reports/validation_report.html
- Command line
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hf download hf://NeerajCodz/aiBatteryLifeCycle/v2/reports/validation_report.html
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curl -L -o validation_report.html https://huggingface.co/NeerajCodz/aiBatteryLifeCycle/resolve/main/v2/reports/validation_report.html
0 Bytes