Instructions to use abdullah890/malconv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use abdullah890/malconv with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://abdullah890/malconv") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3a6fc4299c9ca773ac1eab7bddb845a909cad728ee4143a51ad396cfed5b7f11
- Size of remote file:
- 8.38 MB
- SHA256:
- cd2a59deee42df7eb7c3db07cbcf7308ef2460e1f8341fdf3154f86643e1cd2b
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