Instructions to use asti339/expression_recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use asti339/expression_recognition with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("asti339/expression_recognition") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 530fef06f2d5972e3780ff1558a2861e002b2f1c4fa8aa63c90f4c00ec36b94c
- Size of remote file:
- 56 Bytes
- SHA256:
- 4ced7eec16e65eeba652f6d677790346d3f9a43cf2c72a8a4addcbd0dad1f53b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.