Instructions to use Seb0099/autopilot-car-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Seb0099/autopilot-car-model with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://Seb0099/autopilot-car-model") - Notebooks
- Google Colab
- Kaggle
Download image_classifier.keras from Seb0099/autopilot-car-model: direct link, hf CLI and curl.
- Browser
- Download file 599 MB
-
https://huggingface.co/Seb0099/autopilot-car-model/resolve/main/image_classifier.keras
- Command line
-
hf download hf://Seb0099/autopilot-car-model/image_classifier.keras
-
curl -L -o image_classifier.keras https://huggingface.co/Seb0099/autopilot-car-model/resolve/main/image_classifier.keras
599 MB
- Xet hash:
- bc2414c6290e5d3e7e1ebd2391b182674cbe50fd1f60d1eed6e918a545761e3a
- Size of remote file:
- 599 MB
- SHA256:
- a926717c7f8de395e46f9640d0483eead2db5e848cb25573006d36e756c61a0d
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