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 keras_metadata.pb from akraut/dummy_bin_image_clf: direct link, hf CLI and curl.
- Browser
- Download file 17.8 kB
-
https://huggingface.co/akraut/dummy_bin_image_clf/resolve/main/keras_metadata.pb
- Command line
-
hf download hf://akraut/dummy_bin_image_clf/keras_metadata.pb
-
curl -L -o keras_metadata.pb https://huggingface.co/akraut/dummy_bin_image_clf/resolve/main/keras_metadata.pb
17.8 kB
- Xet hash:
- 7821e34769224ce12974187f5885db998bc8071aaaf7a9dc7a3656809c268d67
- Size of remote file:
- 17.8 kB
- SHA256:
- ac7f26c7004f3cd6f539a99d6ab962ac3cfec9ee7725bebb5d77570b5a240d86
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