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
- Xet hash:
- ae325f3c611668160e49077fdc62aeeb7f487e89998e49b40e97cf98ce392357
- Size of remote file:
- 3.9 kB
- SHA256:
- 7dd8fb91084ebf15e90aa988b157f30abc4eaa079b139e55ef36b0293d572af2
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