Instructions to use KarimSayed/cat-breed-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use KarimSayed/cat-breed-encoder with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://KarimSayed/cat-breed-encoder") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d11fcb049ace98feca71e45d50b93799b685f4cafab0d68a5ace7c4a01f29479
- Size of remote file:
- 1.42 GB
- SHA256:
- e87198b96dfb05827d6bd9ff4e02d3f508b7f52ebe139d3dcc1fc856ab867c58
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