Instructions to use dilkushsingh/Facial_Emotion_Recognizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use dilkushsingh/Facial_Emotion_Recognizer 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://dilkushsingh/Facial_Emotion_Recognizer") - Notebooks
- Google Colab
- Kaggle
Download ResNet50_Transfer_Learning/variables/variables.index from dilkushsingh/Facial_Emotion_Recognizer: direct link, hf CLI and curl.
- Browser
- Download file 22.9 kB
-
https://huggingface.co/dilkushsingh/Facial_Emotion_Recognizer/resolve/main/ResNet50_Transfer_Learning/variables/variables.index
- Command line
-
hf download hf://dilkushsingh/Facial_Emotion_Recognizer/ResNet50_Transfer_Learning/variables/variables.index
-
curl -L -o variables.index https://huggingface.co/dilkushsingh/Facial_Emotion_Recognizer/resolve/main/ResNet50_Transfer_Learning/variables/variables.index
22.9 kB
- Xet hash:
- 8f113bfde59350e32b5bd6db8936449250d6d13296902fe6094d311832f3efd5
- Size of remote file:
- 22.9 kB
- SHA256:
- 0a5ff7be07daedbecfa4fdfaa530574938eb62b48298b6308590fde4f8f1058d
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