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/keras_metadata.pb from Bananaws/Python_Task6: direct link, hf CLI and curl.
- Browser
- Download file 34.5 kB
-
https://huggingface.co/Bananaws/Python_Task6/resolve/d3186bc431c961db0a29ddd18e88a9f1d151d8a0/model-autoencoder/keras_metadata.pb
- Command line
-
hf download hf://Bananaws/Python_Task6@d3186bc431c961db0a29ddd18e88a9f1d151d8a0/model-autoencoder/keras_metadata.pb
-
curl -L -o keras_metadata.pb https://huggingface.co/Bananaws/Python_Task6/resolve/d3186bc431c961db0a29ddd18e88a9f1d151d8a0/model-autoencoder/keras_metadata.pb
34.5 kB
- Xet hash:
- 32a5e3cc2487197ec6ca546c4314413083731a171743ec8b4ee49c1405cd57cc
- Size of remote file:
- 34.5 kB
- SHA256:
- c410bd649600bd04393a6c576be6db2f904faf8424a8bf4961c5d1bf7bcd6afe
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