Instructions to use dilkushsingh/Facial_Emotion_Recognizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use dilkushsingh/Facial_Emotion_Recognizer 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://dilkushsingh/Facial_Emotion_Recognizer") - Notebooks
- Google Colab
- Kaggle
Download ResNet50_Transfer_Learning/fingerprint.pb from dilkushsingh/Facial_Emotion_Recognizer: direct link, hf CLI and curl.
- Browser
- Download file 56 Bytes
-
https://huggingface.co/dilkushsingh/Facial_Emotion_Recognizer/resolve/main/ResNet50_Transfer_Learning/fingerprint.pb
- Command line
-
hf download hf://dilkushsingh/Facial_Emotion_Recognizer/ResNet50_Transfer_Learning/fingerprint.pb
-
curl -L -o fingerprint.pb https://huggingface.co/dilkushsingh/Facial_Emotion_Recognizer/resolve/main/ResNet50_Transfer_Learning/fingerprint.pb
56 Bytes
- Xet hash:
- fd4819cbafbf45444402212307692465105ea97dc9463ce3402e267f7cf91a40
- Size of remote file:
- 56 Bytes
- SHA256:
- 4b4da2dc607045525ba37871996300b8dc8d503e106acc160c54840dc5ba15a9
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