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:
# !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://SynthAIzer/gender-classification") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload gender_classification_final.keras with huggingface_hub
Verified signaturee1c6ec7 -
Upload gender_classification_model.h5 with huggingface_hub
Verified signature5d46935 -
Upload gender_classification.tflite with huggingface_hub
Verified signature1051457
-
Create README.md
Verified signature609df50
-
Delete kaggle/working/gender_classification.tflite
Verified signature35c34b6 -
Upload gender_classification.tflite with huggingface_hub
Verified signaturef17c499 -
Upload gender_classification_final.keras with huggingface_hub
Verified signature7c1d356 -
Upload gender_classification_model.h5 with huggingface_hub
Verified signature7a849ae -
Upload /kaggle/working/gender_classification.tflite with huggingface_hub
Verified signatureb8e431e -
initial commit
Verified signature29c6222