Instructions to use akraut/dummy_bin_image_clf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use akraut/dummy_bin_image_clf 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://akraut/dummy_bin_image_clf") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from akraut/dummy_bin_image_clf: direct link, hf CLI and curl.
- Browser
- Download file 118 kB
-
https://huggingface.co/akraut/dummy_bin_image_clf/resolve/main/saved_model.pb
- Command line
-
hf download hf://akraut/dummy_bin_image_clf/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/akraut/dummy_bin_image_clf/resolve/main/saved_model.pb
118 kB
- Xet hash:
- 4e5e0c6f3ac059e2bc03008f992c3b12eb80ec49ad2a9abc4d1bd6de2f04edfc
- Size of remote file:
- 118 kB
- SHA256:
- 03ce7bd5685ec715ae37f3ec6732763c5f3249428a90e034a1afdc3bf7adad5b
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