Instructions to use yeonmorae/cppe5_use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yeonmorae/cppe5_use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="yeonmorae/cppe5_use_data_finetuning")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("yeonmorae/cppe5_use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("yeonmorae/cppe5_use_data_finetuning") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 819c38e79e342b8d955b1e43bcfcd5e07258ba544aed9baa92b1b47da987e7d3
- Size of remote file:
- 167 MB
- SHA256:
- b01d8c11a07464fae59fde43560f740292b46366992132856d0067cb739e5b99
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