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:
- d90cec58f2e7086a1810ed51d3ca40dba008d49a8b23ea599795801dfd9164ae
- Size of remote file:
- 4.54 kB
- SHA256:
- 9b30f453635918b6721af1a331a1be4bd60de71f529ad4a68a0058bb294dddff
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