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:
# !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://cycloevan/malconv") - Notebooks
- Google Colab
- Kaggle
code : Add h5 model file
Browse files- models/malconv_model.h5 +3 -0
models/malconv_model.h5
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cd2a59deee42df7eb7c3db07cbcf7308ef2460e1f8341fdf3154f86643e1cd2b
|
| 3 |
+
size 8380320
|