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:
- 1c6243fded1c71cab2fdb857b3bd62c2790fb5d7687db439c0577c36ad37d80a
- Size of remote file:
- 167 MB
- SHA256:
- d28d49f523e67982dff644058b42f90763da6b6cbe469bae8ff75499cd47c2e2
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