Instructions to use LiviaQi/trained_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LiviaQi/trained_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="LiviaQi/trained_model")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("LiviaQi/trained_model") model = AutoModelForObjectDetection.from_pretrained("LiviaQi/trained_model") - Notebooks
- Google Colab
- Kaggle
update model card README.md
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README.md
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- lr_scheduler_type: linear
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- num_epochs: 500
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### Framework versions
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- Transformers 4.30.2
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- lr_scheduler_type: linear
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- num_epochs: 500
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### Training results
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### Framework versions
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- Transformers 4.30.2
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