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 tensorflow/pilotnet_tftrt_fp32/saved_model.pb from sergiopaniego/OptimizedPilotNet: direct link, hf CLI and curl.
- Browser
- Download file 6.6 MB
-
https://huggingface.co/sergiopaniego/OptimizedPilotNet/resolve/main/tensorflow/pilotnet_tftrt_fp32/saved_model.pb
- Command line
-
hf download hf://sergiopaniego/OptimizedPilotNet/tensorflow/pilotnet_tftrt_fp32/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/sergiopaniego/OptimizedPilotNet/resolve/main/tensorflow/pilotnet_tftrt_fp32/saved_model.pb
6.6 MB
- Xet hash:
- 71bd60a14aa2b0430728b3e73ccf5c95839db5838328b4dc8d6bf82a03719f81
- Size of remote file:
- 6.6 MB
- SHA256:
- a2baab9605b8c4c42fb1a345f30625d4ac66e51b671cc1d5f02bc0ba5a008040
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