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/fingerprint.pb from Bananaws/Python_Task6: direct link, hf CLI and curl.
- Browser
- Download file 56 Bytes
-
https://huggingface.co/Bananaws/Python_Task6/resolve/d3186bc431c961db0a29ddd18e88a9f1d151d8a0/model-autoencoder/fingerprint.pb
- Command line
-
hf download hf://Bananaws/Python_Task6@d3186bc431c961db0a29ddd18e88a9f1d151d8a0/model-autoencoder/fingerprint.pb
-
curl -L -o fingerprint.pb https://huggingface.co/Bananaws/Python_Task6/resolve/d3186bc431c961db0a29ddd18e88a9f1d151d8a0/model-autoencoder/fingerprint.pb
56 Bytes
- Xet hash:
- 99e8e25e388fe8f6a04c1eaca8a58a00710a4c5a4027667c036e2360976b9e24
- Size of remote file:
- 56 Bytes
- SHA256:
- cc9c8fe9d4ae5e9754fafdfc507309c08b10206cd29804ca724d4fc30a38f650
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