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.data-00000-of-00001 from Bananaws/Python_Task6: direct link, hf CLI and curl.
- Browser
- Download file 3 MB
-
https://huggingface.co/Bananaws/Python_Task6/resolve/main/model-autoencoder/variables/variables.data-00000-of-00001
- Command line
-
hf download hf://Bananaws/Python_Task6/model-autoencoder/variables/variables.data-00000-of-00001
-
curl -L -o variables.data-00000-of-00001 https://huggingface.co/Bananaws/Python_Task6/resolve/main/model-autoencoder/variables/variables.data-00000-of-00001
3 MB
- Xet hash:
- 115f84133c377043244efc41c71c982dd9f17db3a7d5e47962320871418cf2b3
- Size of remote file:
- 3 MB
- SHA256:
- b36cf02cc73d5791c70c524c7007294a79a6aa8a031c72cd9aa0797cf37e76a7
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