Instructions to use 10Ngoc/task02structure with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 10Ngoc/task02structure with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="10Ngoc/task02structure")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("10Ngoc/task02structure") model = AutoModelForObjectDetection.from_pretrained("10Ngoc/task02structure") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a5c16a352c4f3129d8a792fa0d9daba8c06e57d81000de18f260396bb0cf37c9
- Size of remote file:
- 115 MB
- SHA256:
- d45bff4f2b7f2b06fd9077a4b1cbadca55e51dce58fe9069ac32497b04d5e26d
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