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
Update ant/pwm/random_torch.py
Browse files- ant/pwm/random_torch.py +1 -1
ant/pwm/random_torch.py
CHANGED
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@@ -8,7 +8,7 @@ import torch.nn as nn
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OBS_DIM = 105
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ACTION_DIM = 8
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LATENT_DIM =
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HIDDEN_DIM = 256
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OUT_DIR = "weights_torch_signatures"
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OBS_DIM = 105
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ACTION_DIM = 8
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LATENT_DIM = 512
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HIDDEN_DIM = 256
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OUT_DIR = "weights_torch_signatures"
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