Instructions to use Invictus-AI/self-evolving-nn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Invictus-AI/self-evolving-nn 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://Invictus-AI/self-evolving-nn") - Notebooks
- Google Colab
- Kaggle
Download evo_checkpoints/best_model.keras from Invictus-AI/self-evolving-nn: direct link, hf CLI and curl.
- Browser
- Download file 914 kB
-
https://huggingface.co/Invictus-AI/self-evolving-nn/resolve/main/evo_checkpoints/best_model.keras
- Command line
-
hf download hf://Invictus-AI/self-evolving-nn/evo_checkpoints/best_model.keras
-
curl -L -o best_model.keras https://huggingface.co/Invictus-AI/self-evolving-nn/resolve/main/evo_checkpoints/best_model.keras
914 kB
- Xet hash:
- a329ecfa1d3220b2e8dcae7a876a41ee04210f0f6f84f94e03561c1e5edaa366
- Size of remote file:
- 914 kB
- SHA256:
- d1c92ca25bd4e940a8c9c1da00e700b79f335355e2300bea0d6fcc3ec363e3a2
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