Instructions to use panda47/cppe5_use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use panda47/cppe5_use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="panda47/cppe5_use_data_finetuning")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("panda47/cppe5_use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("panda47/cppe5_use_data_finetuning") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1593822de0c98f04d369c04da3536ebaa9a42612a7141816910a298d3d3039ee
- Size of remote file:
- 166 MB
- SHA256:
- e267bbb03abd4155ec3ec01fe8c6b9d3631d211e9c2195bc2234ea45ec62a584
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