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 car_racing/world_model/encoder.pt from ShaswatRobotics/world_model_test: direct link, hf CLI and curl.
- Browser
- Download file 3.83 MB
-
https://huggingface.co/ShaswatRobotics/world_model_test/resolve/main/car_racing/world_model/encoder.pt
- Command line
-
hf download hf://ShaswatRobotics/world_model_test/car_racing/world_model/encoder.pt
-
curl -L -o encoder.pt https://huggingface.co/ShaswatRobotics/world_model_test/resolve/main/car_racing/world_model/encoder.pt
3.83 MB
- Xet hash:
- caff1e79e48883836d10e8d723a874b6177000b8a07592ed4d1e27b11bdadc42
- Size of remote file:
- 3.83 MB
- SHA256:
- 01154b4395fae9f5e6edbd46f7219ed85cb2e2aa13f325434958ad8299e7f83a
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