Instructions to use DataScienceProject/CNN_And_ELA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use DataScienceProject/CNN_And_ELA 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://DataScienceProject/CNN_And_ELA") - Notebooks
- Google Colab
- Kaggle
Download requirements.txt from DataScienceProject/CNN_And_ELA: direct link, hf CLI and curl.
- Browser
- Download file 60 Bytes
-
https://huggingface.co/DataScienceProject/CNN_And_ELA/resolve/main/requirements.txt
- Command line
-
hf download hf://DataScienceProject/CNN_And_ELA/requirements.txt
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curl -L -o requirements.txt https://huggingface.co/DataScienceProject/CNN_And_ELA/resolve/main/requirements.txt
60 Bytes
| pandas | |
| numpy | |
| matplotlib | |
| Pillow | |
| tensorflow | |
| scikit-learn | |
| scipy |