Instructions to use ShaswatRobotics/world_model_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use ShaswatRobotics/world_model_test 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("ShaswatRobotics/world_model_test") - Notebooks
- Google Colab
- Kaggle
Download ant/weights_tensorflow_signatures/transition_positional.pb from ShaswatRobotics/world_model_test: direct link, hf CLI and curl.
- Browser
- Download file 77.8 kB
-
https://huggingface.co/ShaswatRobotics/world_model_test/resolve/main/ant/weights_tensorflow_signatures/transition_positional.pb
- Command line
-
hf download hf://ShaswatRobotics/world_model_test/ant/weights_tensorflow_signatures/transition_positional.pb
-
curl -L -o transition_positional.pb https://huggingface.co/ShaswatRobotics/world_model_test/resolve/main/ant/weights_tensorflow_signatures/transition_positional.pb
77.8 kB
- Xet hash:
- 53085d912c642e99c5b31652d7ff9ffec578dd9214a53b21d94d2395742c874d
- Size of remote file:
- 77.8 kB
- SHA256:
- 6ac3ef657fce9a549f53bc5715d7edc835376e2c262edbf3edc862e4bc70daf6
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