Instructions to use Daoneeee/cppe5_use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Daoneeee/cppe5_use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Daoneeee/cppe5_use_data_finetuning")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("Daoneeee/cppe5_use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("Daoneeee/cppe5_use_data_finetuning") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c9836b45e3dd2cfd9638f7a5804467032dd912e03db9494794c737f124d22442
- Size of remote file:
- 166 MB
- SHA256:
- afabe6b0e92f557755f4e1f47da46571de31a0279e4220bf311569613ffa69b2
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