Instructions to use IHasFarms/MaliciousModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use IHasFarms/MaliciousModel 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://IHasFarms/MaliciousModel") - Notebooks
- Google Colab
- Kaggle
Download identity_neural_network.onnx from IHasFarms/MaliciousModel: direct link, hf CLI and curl.
- Browser
- Download file 1.24 kB
-
https://huggingface.co/IHasFarms/MaliciousModel/resolve/main/identity_neural_network.onnx
- Command line
-
hf download hf://IHasFarms/MaliciousModel/identity_neural_network.onnx
-
curl -L -o identity_neural_network.onnx https://huggingface.co/IHasFarms/MaliciousModel/resolve/main/identity_neural_network.onnx
1.24 kB
- Xet hash:
- fb993b952fdc920e1bd9187b1d2b2dd7f3e119a2863e16ce23c9fe5e75d2b190
- Size of remote file:
- 1.24 kB
- SHA256:
- 800a9ec6a25fa35ca75ac17108278e4e081d44cd9aa91eb781a7b84d00ca5ad5
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