Instructions to use wnsdud030415/cppe5_use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wnsdud030415/cppe5_use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="wnsdud030415/cppe5_use_data_finetuning")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("wnsdud030415/cppe5_use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("wnsdud030415/cppe5_use_data_finetuning") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 65738e1e3c61ceb19a4b5ce0d9495acbcc412ea34f1fc6ec026007fdaa8b887a
- Size of remote file:
- 167 MB
- SHA256:
- b0caf77b88a77610d81e8af9d85f1a311e76d12c23e10679e2edb3335d3f41be
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