Instructions to use Satish678/UIED_Transformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Satish678/UIED_Transformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Satish678/UIED_Transformer")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("Satish678/UIED_Transformer") model = AutoModelForObjectDetection.from_pretrained("Satish678/UIED_Transformer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1c49df531010514de132945453bb7e7687ed2fa58dee52f6ff90b83a1e9870b9
- Size of remote file:
- 3.9 kB
- SHA256:
- f3f38527d681f99d327384b3d9aa9caf2454fc774a6cab96ab465b477e27b9a5
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