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:
- e6dfcb18b542d619e58e6cca8090f52fa24272c0189e59ebd368698e2d3ecae1
- Size of remote file:
- 167 MB
- SHA256:
- 7668d2375940f22b9dd98ee63c5459ccab05336e28261a76c5e0ce1470cbee3a
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