Instructions to use PeskyAmiable/pepe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use PeskyAmiable/pepe with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://PeskyAmiable/pepe") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c303c4ebfe654eab7f821acaca306b711c646c02642cde3672964ce9f8d580dd
- Size of remote file:
- 24.9 kB
- SHA256:
- fe7f9d11b996eb84a498b38b85422abb28d020f12cd716305c5e211a682d8514
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