Instructions to use SynthAIzer/gender-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use SynthAIzer/gender-classification with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://SynthAIzer/gender-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f3ca03defb38075e35a5c783c39ec8820f4349b5f768869a15c2139900974e5f
- Size of remote file:
- 13.9 MB
- SHA256:
- fc16ce19c8f9c02fb5b60aa11edddfc05cd156b7b22fab5f1c18a01693dead4f
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