Instructions to use cycloevan/malconv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use cycloevan/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://cycloevan/malconv") - Notebooks
- Google Colab
- Kaggle
code : Add h5 model file
Browse files- models/malconv_model.h5 +3 -0
models/malconv_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:cd2a59deee42df7eb7c3db07cbcf7308ef2460e1f8341fdf3154f86643e1cd2b
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size 8380320
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