Instructions to use gghsgn/cvr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gghsgn/cvr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="gghsgn/cvr")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("gghsgn/cvr") model = AutoModelForObjectDetection.from_pretrained("gghsgn/cvr") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by gghsgn - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:277556de38b38915131800489169c65749b282a26f2c2ec88c632f5c46ed1cf2
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size 25914032
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