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 variables/variables.index from akraut/dummy_bin_image_clf: direct link, hf CLI and curl.
- Browser
- Download file 989 Bytes
-
https://huggingface.co/akraut/dummy_bin_image_clf/resolve/main/variables/variables.index
- Command line
-
hf download hf://akraut/dummy_bin_image_clf/variables/variables.index
-
curl -L -o variables.index https://huggingface.co/akraut/dummy_bin_image_clf/resolve/main/variables/variables.index
989 Bytes
- Xet hash:
- bdfbfefcfa696252405c683453219fe965f00917c79bbe81041fb65896650b92
- Size of remote file:
- 989 Bytes
- SHA256:
- a8dcb24da52fa99a9cd06392bd34d5ab23cae118609a7597b46041edea21c790
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