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 fdfddfdsaassd/vgg19-emotion-recognition-ckplus-rafdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use fdfddfdsaassd/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://fdfddfdsaassd/vgg19-emotion-recognition-ckplus-rafdb") - Notebooks
- Google Colab
- Kaggle
Download images/Balanced_Class_Distribution.png from fdfddfdsaassd/vgg19-emotion-recognition-ckplus-rafdb: direct link, hf CLI and curl.
- Browser
- Download file 27.8 kB
-
https://huggingface.co/fdfddfdsaassd/vgg19-emotion-recognition-ckplus-rafdb/resolve/main/images/Balanced_Class_Distribution.png
- Command line
-
hf download hf://fdfddfdsaassd/vgg19-emotion-recognition-ckplus-rafdb/images/Balanced_Class_Distribution.png
-
curl -L -o Balanced_Class_Distribution.png https://huggingface.co/fdfddfdsaassd/vgg19-emotion-recognition-ckplus-rafdb/resolve/main/images/Balanced_Class_Distribution.png
27.8 kB

- Xet hash:
- 4d0ce7c558f49aa3c126021bef10243e752cb817f5ae5fbd06d3294613fa2916
- Size of remote file:
- 27.8 kB
- SHA256:
- a2356aefd603b4d4f60b64a56bd74c2d4d0582c7276e5089dacb0beb089ed54a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.