Instructions to use okeowo1014/fingerprintgrecognizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use okeowo1014/fingerprintgrecognizer with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://okeowo1014/fingerprintgrecognizer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 13dc04bf66c76835af05d3e4ef7b931926029a0338f0443970c00a21471b3f77
- Size of remote file:
- 304 kB
- SHA256:
- b8eb78c80ff71bf9399cb641d441195d26f96172df3c9e3d5b5d7b40caeeb545
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.