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/trt_mod_float32.jit.pt from sergiopaniego/OptimizedPilotNet: direct link, hf CLI and curl.
- Browser
- Download file 6.42 MB
-
https://huggingface.co/sergiopaniego/OptimizedPilotNet/resolve/main/pytorch/trt_mod_float32.jit.pt
- Command line
-
hf download hf://sergiopaniego/OptimizedPilotNet/pytorch/trt_mod_float32.jit.pt
-
curl -L -o trt_mod_float32.jit.pt https://huggingface.co/sergiopaniego/OptimizedPilotNet/resolve/main/pytorch/trt_mod_float32.jit.pt
6.42 MB
- Xet hash:
- 7b7b413bc0945105d17859e7f04919e3eb8c605abf45e5caab9a6be3ad727933
- Size of remote file:
- 6.42 MB
- SHA256:
- 9ef3967e497b31ab09fdf163c05ae24d26c2f7109c0066bc2d66856a9673985a
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