Instructions to use harpomaxx/dga-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use harpomaxx/dga-detector with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy), and from_pretrained_keras was removed in huggingface_hub 1.0. # See https://github.com/keras-team/tf-keras for more details. # !pip install "huggingface_hub<1.0" tf_keras from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("harpomaxx/dga-detector") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from harpomaxx/dga-detector: direct link, hf CLI and curl.
- Browser
- Download file 94 kB
-
https://huggingface.co/harpomaxx/dga-detector/resolve/main/saved_model.pb
- Command line
-
hf download hf://harpomaxx/dga-detector/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/harpomaxx/dga-detector/resolve/main/saved_model.pb
94 kB
- Xet hash:
- e296ada750fc74e846a1e0046a2d4759a3fd66fce86fc49821dc52b9f34afad8
- Size of remote file:
- 94 kB
- SHA256:
- 33eeb6e8f55b5a42f04e76c8334d2694112580f8b427a8e6baa0f11f18738950
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