Instructions to use namkwonwoo/cppe5_use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use namkwonwoo/cppe5_use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="namkwonwoo/cppe5_use_data_finetuning")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("namkwonwoo/cppe5_use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("namkwonwoo/cppe5_use_data_finetuning") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 54a7dc9d7028ee52947956f8b35862763be3dcf7958267f7b613113b127f1137
- Size of remote file:
- 166 MB
- SHA256:
- 93db1a9827eb021fe1c39ef41e053db8fc21cc2830b70617cfaf49a25874d1c2
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