Instructions to use UnYong00/cppe5_use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UnYong00/cppe5_use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="UnYong00/cppe5_use_data_finetuning")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("UnYong00/cppe5_use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("UnYong00/cppe5_use_data_finetuning") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0386e4b082a1203c045d4278ebfae6a82ecc5c70f1d3336b166e8e18b04314c9
- Size of remote file:
- 166 MB
- SHA256:
- ae95ce35601e6bb26b173c3206f669fcfa1bffff545d3aa9cb5e29c3f2573d39
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