Instructions to use magichampz/lego-technic-sorting-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use magichampz/lego-technic-sorting-model 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("magichampz/lego-technic-sorting-model") - Notebooks
- Google Colab
- Kaggle
Download create-model/create_image_classification_model.ipynb from magichampz/lego-technic-sorting-model: direct link, hf CLI and curl.
- Browser
- Download file 113 kB
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https://huggingface.co/magichampz/lego-technic-sorting-model/resolve/main/create-model/create_image_classification_model.ipynb
- Command line
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hf download hf://magichampz/lego-technic-sorting-model/create-model/create_image_classification_model.ipynb
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curl -L -o create_image_classification_model.ipynb https://huggingface.co/magichampz/lego-technic-sorting-model/resolve/main/create-model/create_image_classification_model.ipynb
113 kB