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/pwm/encoder.pt from ShaswatRobotics/world_model_test: direct link, hf CLI and curl.
- Browser
- Download file 653 kB
-
https://huggingface.co/ShaswatRobotics/world_model_test/resolve/main/ant/pwm/encoder.pt
- Command line
-
hf download hf://ShaswatRobotics/world_model_test/ant/pwm/encoder.pt
-
curl -L -o encoder.pt https://huggingface.co/ShaswatRobotics/world_model_test/resolve/main/ant/pwm/encoder.pt
653 kB
- Xet hash:
- f5aa3d26871e63db189f5d11ce72a21f402f21b808848f05d133719dcb36681f
- Size of remote file:
- 653 kB
- SHA256:
- 07e7d4a0346e86af66e673f90e7827fdf0cecc942274bef2243bcad5a36d2b6e
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