Image Classification
Transformers
Safetensors
English
siglip
SigLIP2
Driver-Drowsiness-Detection
biology
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Instructions to use prithivMLmods/DOZE-GUARD-RLDD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/DOZE-GUARD-RLDD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/DOZE-GUARD-RLDD") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("prithivMLmods/DOZE-GUARD-RLDD") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/DOZE-GUARD-RLDD", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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