Image Classification
Keras
English
emotion-detection
facial-expression
fer2012
Eval Results (legacy)
Instructions to use Goutham204/Emotion_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Goutham204/Emotion_detection 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://Goutham204/Emotion_detection") - Notebooks
- Google Colab
- Kaggle
Download emotion-059.keras from Goutham204/Emotion_detection: direct link, hf CLI and curl.
- Browser
- Download file 24.4 MB
-
https://huggingface.co/Goutham204/Emotion_detection/resolve/main/emotion-059.keras
- Command line
-
hf download hf://Goutham204/Emotion_detection/emotion-059.keras
-
curl -L -o emotion-059.keras https://huggingface.co/Goutham204/Emotion_detection/resolve/main/emotion-059.keras
24.4 MB
- Xet hash:
- 398c72a22d8b73cde53ba3a98c6ea9c8abc5285c4203626dc61be0129c471fab
- Size of remote file:
- 24.4 MB
- SHA256:
- dd64276af89861e50f00ee330001e4bd3343a481bd3b85d83af1115075ebbeb9
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