Instructions to use Bananaws/Python_Task6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Bananaws/Python_Task6 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://Bananaws/Python_Task6") - Notebooks
- Google Colab
- Kaggle
Download model-autoencoder/variables/variables.index from Bananaws/Python_Task6: direct link, hf CLI and curl.
- Browser
- Download file 3.15 kB
-
https://huggingface.co/Bananaws/Python_Task6/resolve/d4bed7a184606fe69c1a1d06d7120d136113d0e6/model-autoencoder/variables/variables.index
- Command line
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hf download hf://Bananaws/Python_Task6@d4bed7a184606fe69c1a1d06d7120d136113d0e6/model-autoencoder/variables/variables.index
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curl -L -o variables.index https://huggingface.co/Bananaws/Python_Task6/resolve/d4bed7a184606fe69c1a1d06d7120d136113d0e6/model-autoencoder/variables/variables.index
3.15 kB
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