Instructions to use sharktide/FireTrustNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use sharktide/FireTrustNet 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/FireTrustNet") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7e2aa284c80fe96bf12b05fce7a621fa543bee8f1e8bdfd854b75a480bd43442
- Size of remote file:
- 2.9 kB
- SHA256:
- e550078e36dbaa6bbfc552694cf1e62fa95eb47235f0a01f8f1b78d63fecb634
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