Instructions to use atuml/FishNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use atuml/FishNet with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://atuml/FishNet") - Notebooks
- Google Colab
- Kaggle
Download FishNet.keras from atuml/FishNet: direct link, hf CLI and curl.
- Browser
- Download file 44.1 MB
-
https://huggingface.co/atuml/FishNet/resolve/main/FishNet.keras
- Command line
-
hf download hf://atuml/FishNet/FishNet.keras
-
curl -L -o FishNet.keras https://huggingface.co/atuml/FishNet/resolve/main/FishNet.keras
44.1 MB
- Xet hash:
- efcbfbbbf9cf101d8a863349271b3d71dfe1a2f3dcb34acc26b5cb63b1a5f9cb
- Size of remote file:
- 44.1 MB
- SHA256:
- 987fa64e45588ae916ea1468dc5487366bb10690e925f2dac21c0d7e691eb9de
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