Instructions to use hula0627/cppe5_use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hula0627/cppe5_use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="hula0627/cppe5_use_data_finetuning")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("hula0627/cppe5_use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("hula0627/cppe5_use_data_finetuning") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 305f9cfe07b5aa55d9f2a412c955d16597014fe2b881d343b18b1b29720210a4
- Size of remote file:
- 167 MB
- SHA256:
- d6c43e17291a5198c5b8732b5cc523d2e431f14eb1c5d89da9687d4675d3c69c
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