Instructions to use chirag2706/FlowerClassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use chirag2706/FlowerClassifier with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy), and from_pretrained_keras was removed in huggingface_hub 1.0. # See https://github.com/keras-team/tf-keras for more details. # !pip install "huggingface_hub<1.0" tf_keras from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("chirag2706/FlowerClassifier") - Notebooks
- Google Colab
- Kaggle
Download keras_metadata.pb from chirag2706/FlowerClassifier: direct link, hf CLI and curl.
- Browser
- Download file 16 kB
-
https://huggingface.co/chirag2706/FlowerClassifier/resolve/main/keras_metadata.pb
- Command line
-
hf download hf://chirag2706/FlowerClassifier/keras_metadata.pb
-
curl -L -o keras_metadata.pb https://huggingface.co/chirag2706/FlowerClassifier/resolve/main/keras_metadata.pb
16 kB
- Xet hash:
- 65ce89e52a817147601762dd214bc3532f954aa28a1a067ef043953db93a7188
- Size of remote file:
- 16 kB
- SHA256:
- c386bed7a3f4acd39fd20521b412b46c7f213f2360d2e46f90f4f5d1103b192f
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