Instructions to use pokogta/logo2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pokogta/logo2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="pokogta/logo2")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("pokogta/logo2") model = AutoModelForObjectDetection.from_pretrained("pokogta/logo2") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
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 sha256:2e895d93382b565f5bd57315ab18cab5001238af60eb74159e3a79bfec15a9ac
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size 166504756
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