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 requirements.txt from Invictus-AI/self-evolving-nn: direct link, hf CLI and curl.
- Browser
- Download file 212 Bytes
-
https://huggingface.co/Invictus-AI/self-evolving-nn/resolve/main/requirements.txt
- Command line
-
hf download hf://Invictus-AI/self-evolving-nn/requirements.txt
-
curl -L -o requirements.txt https://huggingface.co/Invictus-AI/self-evolving-nn/resolve/main/requirements.txt
212 Bytes
| # Self-Evolving Neural Network — dependencies | |
| # Verified working versions (this project was developed with these exact pins) | |
| tensorflow==2.21.0 | |
| numpy==2.4.6 | |
| flask==3.1.3 | |
| datasets==5.0.1 | |
| huggingface_hub==1.26.0 | |