Instructions to use rohansaraswat/TrafficSignsDetection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rohansaraswat/TrafficSignsDetection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="rohansaraswat/TrafficSignsDetection") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("rohansaraswat/TrafficSignsDetection") model = AutoModelForImageClassification.from_pretrained("rohansaraswat/TrafficSignsDetection") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:5f5a83f9e676ad30133e8a4644c4dda60ee7a03ee77f873bec4bf7333f86b5eb
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size 343479292
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