Instructions to use sergiopaniego/OptimizedPilotNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use sergiopaniego/OptimizedPilotNet 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("sergiopaniego/OptimizedPilotNet") - Notebooks
- Google Colab
- Kaggle
Download pytorch/pilotnet_model.pth from sergiopaniego/OptimizedPilotNet: direct link, hf CLI and curl.
- Browser
- Download file 6.39 MB
-
https://huggingface.co/sergiopaniego/OptimizedPilotNet/resolve/main/pytorch/pilotnet_model.pth
- Command line
-
hf download hf://sergiopaniego/OptimizedPilotNet/pytorch/pilotnet_model.pth
-
curl -L -o pilotnet_model.pth https://huggingface.co/sergiopaniego/OptimizedPilotNet/resolve/main/pytorch/pilotnet_model.pth
6.39 MB
- Xet hash:
- cfeaebdc4f71f4cf361e6b3cda0ddb9c70041a5585d7503c09346375d9266089
- Size of remote file:
- 6.39 MB
- SHA256:
- 2fefff13e421b15c9df3e38e61013f8e2c2385bf611642b85d828a90f6046e3b
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