Instructions to use CaptainHaaz/FERmodelCNN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use CaptainHaaz/FERmodelCNN with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://CaptainHaaz/FERmodelCNN") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c7eb7314c563848155bc7f6f7ffee4e4cb323934d7332054c28f90a2eca3e14a
- Size of remote file:
- 32.2 kB
- SHA256:
- 72be3cf1a7993c0294f3213a8aa9b0f330f428d17617ac5a0e322ab55de775d9
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