Image Classification
Transformers
PyTorch
English
drowsiness_detector
computer-vision
drowsiness-detection
driver-safety
cnn
tensorflow
Instructions to use ckcl/driver-drowsiness-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ckcl/driver-drowsiness-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ckcl/driver-drowsiness-detector") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ckcl/driver-drowsiness-detector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Create drowdiness.yaml
Browse files- drowdiness.yaml +10 -0
drowdiness.yaml
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---
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language: en
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license: mit
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tags:
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- text-classification
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- deep-learning
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model_name: driver-drowsiness-detector
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datasets:
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- imdb
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---
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