Instructions to use 10Ngoc/task02update with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 10Ngoc/task02update with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="10Ngoc/task02update")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("10Ngoc/task02update") model = AutoModelForObjectDetection.from_pretrained("10Ngoc/task02update") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ef414049758b75b0386f9986af08bb19e4799fce8b187ce1e7c3b824277ca7bc
- Size of remote file:
- 115 MB
- SHA256:
- 595b9b0bef04bd29d211cba04bc9a1f2af704f17126ffcb05b6369df93152be2
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