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_intflt_quant.tflite from sergiopaniego/OptimizedPilotNet: direct link, hf CLI and curl.
- Browser
- Download file 1.61 MB
-
https://huggingface.co/sergiopaniego/OptimizedPilotNet/resolve/main/tensorflow/pilotnet_intflt_quant.tflite
- Command line
-
hf download hf://sergiopaniego/OptimizedPilotNet/tensorflow/pilotnet_intflt_quant.tflite
-
curl -L -o pilotnet_intflt_quant.tflite https://huggingface.co/sergiopaniego/OptimizedPilotNet/resolve/main/tensorflow/pilotnet_intflt_quant.tflite
1.61 MB
- Xet hash:
- 5e11e6d50404958c7d9107c1348a6e486aa8eb7062b6d7475073f2e3357339cc
- Size of remote file:
- 1.61 MB
- SHA256:
- 606864e2dba1a777d456a3d9150c125be477567d4bc6403c3539af4b4521cff5
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