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:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://IHasFarms/MaliciousModel") - Notebooks
- Google Colab
- Kaggle
Rename custom_model (1).keras to custom.keras
Browse files- .gitattributes +1 -0
- custom_model (1).keras → custom.keras +0 -0
.gitattributes
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@@ -37,3 +37,4 @@ custom_model.keras filter=lfs diff=lfs merge=lfs -text
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libidentity_conv_iplugin_v3.so filter=lfs diff=lfs merge=lfs -text
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mxbai-embed-large-v1-f16.llamafile filter=lfs diff=lfs merge=lfs -text
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custom_model[[:space:]](1).keras filter=lfs diff=lfs merge=lfs -text
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libidentity_conv_iplugin_v3.so filter=lfs diff=lfs merge=lfs -text
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mxbai-embed-large-v1-f16.llamafile filter=lfs diff=lfs merge=lfs -text
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custom_model[[:space:]](1).keras filter=lfs diff=lfs merge=lfs -text
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custom.keras filter=lfs diff=lfs merge=lfs -text
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custom_model (1).keras → custom.keras
RENAMED
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File without changes
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