Instructions to use AndreiUrsu/Face_Emotion_Clasification_RNN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use AndreiUrsu/Face_Emotion_Clasification_RNN with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy), and from_pretrained_keras was removed in huggingface_hub 1.0. # See https://github.com/keras-team/tf-keras for more details. # !pip install "huggingface_hub<1.0" tf_keras from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("AndreiUrsu/Face_Emotion_Clasification_RNN") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from AndreiUrsu/Face_Emotion_Clasification_RNN: direct link, hf CLI and curl.
- Browser
- Download file 1.3 MB
-
https://huggingface.co/AndreiUrsu/Face_Emotion_Clasification_RNN/resolve/main/saved_model.pb
- Command line
-
hf download hf://AndreiUrsu/Face_Emotion_Clasification_RNN/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/AndreiUrsu/Face_Emotion_Clasification_RNN/resolve/main/saved_model.pb
1.3 MB
- Xet hash:
- 97e5d6a2155eb91f5dfed653571df40fee4ea5185f0b5d61133a15a27a69f058
- Size of remote file:
- 1.3 MB
- SHA256:
- cf4e966b7385fd941b367edd8c413b2f6d65da312123de8e89fef62836e281af
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