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:
- 038c7ac55029296d176cda1d12f2bd804fd3c036ef9f8ed9f37a60b822f4a08f
- Size of remote file:
- 12.6 MB
- SHA256:
- 957fd697149066ee2926b18d7008997479952fe083e2b3f8e3fa4a35e84b6bd3
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