Instructions to use sharktide/FireNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use sharktide/FireNet with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://sharktide/FireNet") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6fdef85d97674be130795597fd39fe9acf50ead36490d4352b2e3d24f375f54c
- Size of remote file:
- 72.2 kB
- SHA256:
- 4d24e5beee3941f8bf930af23105b60854f97531bf12605546f2a23ead197eda
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