Keras
English
intrusion-detection
network-security
iot-security
cnn
bilstm
time-series
cybersecurity
Instructions to use Codelord01/binary_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Codelord01/binary_model 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://Codelord01/binary_model") - Notebooks
- Google Colab
- Kaggle
Download binary_model.keras from Codelord01/binary_model: direct link, hf CLI and curl.
- Browser
- Download file 2.36 MB
-
https://huggingface.co/Codelord01/binary_model/resolve/main/binary_model.keras
- Command line
-
hf download hf://Codelord01/binary_model/binary_model.keras
-
curl -L -o binary_model.keras https://huggingface.co/Codelord01/binary_model/resolve/main/binary_model.keras
2.36 MB
- Xet hash:
- c23397539d8452cb007ec555399b78f06a8688790df728889d492e8dd78bd958
- Size of remote file:
- 2.36 MB
- SHA256:
- 3f1d081fa5e46652f60c77010b28cf32d758eaa387727d4b656d624b15dc5bcd
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