Instructions to use Oamitai/shape-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Oamitai/shape-classification 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://Oamitai/shape-classification") - Notebooks
- Google Colab
- Kaggle
Download shape_model.keras from Oamitai/shape-classification: direct link, hf CLI and curl.
- Browser
- Download file 33.3 MB
-
https://huggingface.co/Oamitai/shape-classification/resolve/main/shape_model.keras
- Command line
-
hf download hf://Oamitai/shape-classification/shape_model.keras
-
curl -L -o shape_model.keras https://huggingface.co/Oamitai/shape-classification/resolve/main/shape_model.keras
33.3 MB
- Xet hash:
- ecb303004e9eeb56e50a23c4a6261e2dc2ca591e591ff8ad29d2a0a28d27391f
- Size of remote file:
- 33.3 MB
- SHA256:
- ae4843f9e621b9b6180b3599c7e1481b7330ba7532190c435b66e05c1c8e7a08
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