Instructions to use hyo37009/cppe5_use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hyo37009/cppe5_use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="hyo37009/cppe5_use_data_finetuning")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("hyo37009/cppe5_use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("hyo37009/cppe5_use_data_finetuning") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc0c9a0941dc8a2d172fdfadefe6b92a86f7153206467cc4d896b42df19d1bc7
- Size of remote file:
- 166 MB
- SHA256:
- 451df2eec68c93cdd0660fda53895130253979417494e31018c6aa250a69874a
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