Instructions to use lds204/cppe5_use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lds204/cppe5_use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="lds204/cppe5_use_data_finetuning")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("lds204/cppe5_use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("lds204/cppe5_use_data_finetuning") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0d5024aebf581a1953cb9b4316afde3dc372e150513823f6227c6bcd34b0aa3e
- Size of remote file:
- 166 MB
- SHA256:
- b939c148b8a85170573b618205c95691d8b51bbfc42bf6f6819a3ced688781ae
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