Instructions to use ssangttuce/cppe5_use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ssangttuce/cppe5_use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="ssangttuce/cppe5_use_data_finetuning")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("ssangttuce/cppe5_use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("ssangttuce/cppe5_use_data_finetuning") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4783e3d4d611879cd896e5d7bcc222195a22eb554a777c4c18c50cc1413529e1
- Size of remote file:
- 166 MB
- SHA256:
- 9d132ffa854948de3ee63521a90fb2f620458868eb6c1262080cb6d5d7719796
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