Instructions to use jin5605/Jins_cppe5_use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jin5605/Jins_cppe5_use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="jin5605/Jins_cppe5_use_data_finetuning")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("jin5605/Jins_cppe5_use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("jin5605/Jins_cppe5_use_data_finetuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 35966523482c9298c875ff0dd023abea89354ab5e44ee34738f7c8a3b517362d
- Size of remote file:
- 166 MB
- SHA256:
- f7368708f6efce102515151bb913279283bec4ed7859f03d86ff1cc0a376993d
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