Instructions to use Ravindra001/conv_bn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Ravindra001/conv_bn 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://Ravindra001/conv_bn") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from Ravindra001/conv_bn: direct link, hf CLI and curl.
- Browser
- Download file 249 kB
-
https://huggingface.co/Ravindra001/conv_bn/resolve/main/saved_model.pb
- Command line
-
hf download hf://Ravindra001/conv_bn/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/Ravindra001/conv_bn/resolve/main/saved_model.pb
249 kB
- Xet hash:
- befd7ffca739cad86cbcdaff98f591d4aaa16e41d166a2845c3ce2143a6985fc
- Size of remote file:
- 249 kB
- SHA256:
- 070032eb4cb2f3c98cda6fe30e5b9624da9c599cb7a349965cca353f10517044
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