Instructions to use AlexLien/trained_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlexLien/trained_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="AlexLien/trained_model")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("AlexLien/trained_model") model = AutoModelForObjectDetection.from_pretrained("AlexLien/trained_model") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 200
Browse files
pytorch_model.bin
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runs/Jun29_19-26-13_42e6e3eea79d/events.out.tfevents.1688066778.42e6e3eea79d.1860.2
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training_args.bin
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