Instructions to use timmy0079/cppe5_use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use timmy0079/cppe5_use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="timmy0079/cppe5_use_data_finetuning")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("timmy0079/cppe5_use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("timmy0079/cppe5_use_data_finetuning") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d2c835c3e662249c847bc0e8b16daa3bea9a6874e30d0ef5eea392e4d978f733
- Size of remote file:
- 166 MB
- SHA256:
- c680af1b632f673b16fa5a76c99128cd2defee4d38803a972a75383e818db81f
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