Instructions to use IlyaHtuePav/ForExam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use IlyaHtuePav/ForExam with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://IlyaHtuePav/ForExam") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8a7b7437d1d95f8f4201a33dfcb467f28e01f8616a45023df59dbf0752fcfbcd
- Size of remote file:
- 14.6 kB
- SHA256:
- 5f3c475cd619f8829a5fee52ed6111550c65f97baf4f9c5e88c647dca394d957
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