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 models/model.tflite from magichampz/lego-technic-sorting-model: direct link, hf CLI and curl.
- Browser
- Download file 438 kB
-
https://huggingface.co/magichampz/lego-technic-sorting-model/resolve/main/models/model.tflite
- Command line
-
hf download hf://magichampz/lego-technic-sorting-model/models/model.tflite
-
curl -L -o model.tflite https://huggingface.co/magichampz/lego-technic-sorting-model/resolve/main/models/model.tflite
438 kB
- Xet hash:
- 13c3376544d0dc5d3f3143745273549f2ad856dae10de8f19f908855c3f84c40
- Size of remote file:
- 438 kB
- SHA256:
- b298422122f14639fefb8cc29f55d08aeaab30948eb369a37a5c3e80a93094fb
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