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_keras/encoder.h5 from ShaswatRobotics/world_model_test: direct link, hf CLI and curl.
- Browser
- Download file 422 kB
-
https://huggingface.co/ShaswatRobotics/world_model_test/resolve/main/ant/weights_keras/encoder.h5
- Command line
-
hf download hf://ShaswatRobotics/world_model_test/ant/weights_keras/encoder.h5
-
curl -L -o encoder.h5 https://huggingface.co/ShaswatRobotics/world_model_test/resolve/main/ant/weights_keras/encoder.h5
422 kB
- Xet hash:
- e32920c7e09f6354fd4e363f2923e3ba8da77285dd93c2b4e192e1aef2190cd5
- Size of remote file:
- 422 kB
- SHA256:
- 0d3db140940b3ee8c962ea066c38b3e1a0ab7c93f0bcf13d94d9915527cfc394
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