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:
- a99ac920e74f9f1c29b39ad2974e8745e288f7e7a37d713128356e03ad11ef8c
- Size of remote file:
- 167 MB
- SHA256:
- 148a60ccde551e76b32cd68ae04c1d8de52d3021d3f4d5a9d88f2a008a0e8aba
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