Instructions to use urbanManul/cppe5_use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use urbanManul/cppe5_use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="urbanManul/cppe5_use_data_finetuning")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("urbanManul/cppe5_use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("urbanManul/cppe5_use_data_finetuning") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 34dec379f918be4fbe32a8d5dfc39bc94918e5f400955c161eb3e6007b62e409
- Size of remote file:
- 166 MB
- SHA256:
- 0438d5f001a23ac070a0f8e54e2700ac408ad8b3612c3bbcec5f7651e80fcc9e
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