Instructions to use aaa950739/trained_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aaa950739/trained_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="aaa950739/trained_model")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("aaa950739/trained_model") model = AutoModelForObjectDetection.from_pretrained("aaa950739/trained_model") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 800
Browse files
pytorch_model.bin
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runs/Jul03_03-52-02_7454e1c7f12e/events.out.tfevents.1688356577.7454e1c7f12e.663.0
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