Instructions to use aafreen06/FaceDetection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use aafreen06/FaceDetection 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://aafreen06/FaceDetection") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload README.md with huggingface_hub
Verified signature97d4839 -
Upload confusion_matrix.png with huggingface_hub
Verified signature626940a -
Upload training_curves.png with huggingface_hub
Verified signatureb2af901 -
Upload class_names.json with huggingface_hub
Verified signature4098caa -
Upload face_model.h5 with huggingface_hub
Verified signature85d1e7e -
initial commit
Verified signature471693d