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:
# !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://CaptainHaaz/FERmodelCNN") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from CaptainHaaz/FERmodelCNN: direct link, hf CLI and curl.
- Browser
- Download file 353 kB
-
https://huggingface.co/CaptainHaaz/FERmodelCNN/resolve/6a575622f2bd5f63a0ce28be0e85481f6596b23f/saved_model.pb
- Command line
-
hf download hf://CaptainHaaz/FERmodelCNN@6a575622f2bd5f63a0ce28be0e85481f6596b23f/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/CaptainHaaz/FERmodelCNN/resolve/6a575622f2bd5f63a0ce28be0e85481f6596b23f/saved_model.pb
353 kB
- Xet hash:
- 4f6b10f9cfcc90c802f8ad90211f21e3855bfb2081e048184093b223def7860d
- Size of remote file:
- 353 kB
- SHA256:
- 4a829fe0fd870d97355f6c39fc3c6e22b3403fcede340a58f1e835b54e349e3c
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