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:
- 4f6b10f9cfcc90c802f8ad90211f21e3855bfb2081e048184093b223def7860d
- Size of remote file:
- 353 kB
- SHA256:
- 4a829fe0fd870d97355f6c39fc3c6e22b3403fcede340a58f1e835b54e349e3c
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