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:
- 735a98712ee62b4e144ddc496890f7ed78e4002c298678705a68f05387518b3f
- Size of remote file:
- 167 MB
- SHA256:
- c2a35e1c6afa5c4b96cdc96852dbac5c72d0075ce0495d0e77002b5a74a18e9a
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