Instructions to use wassupyong/cppe5_use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wassupyong/cppe5_use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="wassupyong/cppe5_use_data_finetuning")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("wassupyong/cppe5_use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("wassupyong/cppe5_use_data_finetuning") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 95513c6444384086d4655c663b7134c050b9f7101a25a8c516ad3378aacd2bd5
- Size of remote file:
- 167 MB
- SHA256:
- 670ff30eebb5cc05f36096a73af5dfb243742a16efab48846195a26bc719e786
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