Instructions to use yusyel/fishv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use yusyel/fishv2 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://yusyel/fishv2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4bd251df2b7c62c2d5add61dc9b41faf4cc58ead71019f7bf435902eba2bbf80
- Size of remote file:
- 738 kB
- SHA256:
- 479466f46f3fd2389912829e4c385e89b4efa311e1176efcfe01d445742f438a
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