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 model.tflite from Seb0099/autopilot-car-model: direct link, hf CLI and curl.
- Browser
- Download file 200 MB
-
https://huggingface.co/Seb0099/autopilot-car-model/resolve/main/model.tflite
- Command line
-
hf download hf://Seb0099/autopilot-car-model/model.tflite
-
curl -L -o model.tflite https://huggingface.co/Seb0099/autopilot-car-model/resolve/main/model.tflite
200 MB
- Xet hash:
- e83f8cb160f7f18eb5c44c8fb3ece6b2e7aac84038ded76212d6b84efc4ef8fa
- Size of remote file:
- 200 MB
- SHA256:
- 09f85b62d6ee3afb0654f4f67eacefe9f7814cc0d3eb16d158f08ad5df2c3d60
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