Instructions to use SynthAIzer/gender-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use SynthAIzer/gender-detection 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-detection") - Notebooks
- Google Colab
- Kaggle
Upload gender_detection.tflite with huggingface_hub
Browse files- gender_detection.tflite +3 -0
gender_detection.tflite
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version https://git-lfs.github.com/spec/v1
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oid sha256:2ea8f4edcd590417553feec9482fe96d158f515610effa95f463477f9aca9b57
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size 89366636
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