Instructions to use CineAI/Bald-or-Not-classification-Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use CineAI/Bald-or-Not-classification-Model with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://CineAI/Bald-or-Not-classification-Model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 01daeb7abb9eeea706a4486d823325a4920388b25c0ab9802e836e53d4a5ad59
- Size of remote file:
- 15.7 MB
- SHA256:
- 39fd35304a3ce78e54ffee4a902b7539d4548f68ea1e15ccb7330c3ee66e7ba8
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