Instructions to use sharktide/FV-FloodTrustNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use sharktide/FV-FloodTrustNet 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/FV-FloodTrustNet") - Notebooks
- Google Colab
- Kaggle
Upload 2 files
Browse files- FV-FloodScaler.json +1 -0
- FV-FloodTrustNet.onnx +3 -0
FV-FloodScaler.json
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{"mean": [67.51242714786524, 3499.189946547079, 8.49821839330231, 3.7480160365229436, 337.8560456789635], "scale": [54.0224766614771, 2553.636690976446, 4.231442617116958, 2.6703293951772684, 284.00897910993694]}
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FV-FloodTrustNet.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:ebe7d9adea13b7fd0b0861ef22e05702dc36ff0e95b111d2ad185b9891024a79
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size 2790
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