LiteRT
Keras
English
tensorflow
emotion-recognition
vgg19
ckplus
rafdb
fine-tuning
computer-vision
deep-learning
facial-expression
affective-computing
Eval Results (legacy)
Instructions to use PSewmuthu/vgg19-emotion-recognition-ckplus-rafdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use PSewmuthu/vgg19-emotion-recognition-ckplus-rafdb 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://PSewmuthu/vgg19-emotion-recognition-ckplus-rafdb") - Notebooks
- Google Colab
- Kaggle
Download images/Original_Class_Distribution.png from PSewmuthu/vgg19-emotion-recognition-ckplus-rafdb: direct link, hf CLI and curl.
- Browser
- Download file 24.7 kB
-
https://huggingface.co/PSewmuthu/vgg19-emotion-recognition-ckplus-rafdb/resolve/main/images/Original_Class_Distribution.png
- Command line
-
hf download hf://PSewmuthu/vgg19-emotion-recognition-ckplus-rafdb/images/Original_Class_Distribution.png
-
curl -L -o Original_Class_Distribution.png https://huggingface.co/PSewmuthu/vgg19-emotion-recognition-ckplus-rafdb/resolve/main/images/Original_Class_Distribution.png
24.7 kB

- Xet hash:
- 71408a649033d113ac720aa09f05820a79918c006a7adea73845694433dc2847
- Size of remote file:
- 24.7 kB
- SHA256:
- 3d373b655423cfffd37b4d06af899fc6c5ffd05778b7f406c5cdb7da97fc646f
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