Instructions to use se0kcess/cppe5_use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use se0kcess/cppe5_use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="se0kcess/cppe5_use_data_finetuning")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("se0kcess/cppe5_use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("se0kcess/cppe5_use_data_finetuning") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 00cb0b342d8ec2d3141fb0b4fb771b5946cf22456e45b61b6dbd7a118010bca9
- Size of remote file:
- 166 MB
- SHA256:
- b051f038ff953c9b13b244ae129a6b1d64565f9a36a984a3a1290a37768f0428
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