Instructions to use Yuqii/trained_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yuqii/trained_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Yuqii/trained_model")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("Yuqii/trained_model") model = AutoModelForObjectDetection.from_pretrained("Yuqii/trained_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 44c6ec1d880d3d00830d9786ed208e94f3cb296561a039e8fac9c21ffca6d58a
- Size of remote file:
- 167 MB
- SHA256:
- 63a10da8d2230d82b60b6e834e18e27a5d09866a1b9cb9fb11349b3636a72806
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