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
fishv2 / logs /05 /execution0 /events.out.tfevents.1698370242.w-yusye-fish-93c488524fe84e469abfb4db4d275806-695b575d88-k9dzt.13381.43.v2
- Xet hash:
- 2fa7619dbb4a3da658112a53055f6c8e296e57183c7e5e60234cd8505ce6b063
- Size of remote file:
- 283 Bytes
- SHA256:
- baebf5e5833d136bd15f95a3b6b6cf784dd53b5fbff51add5bcf6148155cfef4
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