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")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("Satish678/UIED_Transformer") model = AutoModelForObjectDetection.from_pretrained("Satish678/UIED_Transformer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 400
Browse files
pytorch_model.bin
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runs/Jun20_06-53-54_4b23e0061309/events.out.tfevents.1687244064.4b23e0061309.175.0
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