Instructions to use wassupyong/cppe5_use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wassupyong/cppe5_use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="wassupyong/cppe5_use_data_finetuning")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("wassupyong/cppe5_use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("wassupyong/cppe5_use_data_finetuning") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fc795fb5c8c075e0a97e7a3adfc4dc3582546276a0614e7433f4311c6eaf0aa2
- Size of remote file:
- 4.54 kB
- SHA256:
- 0ea8542704132fbe5a2a6e2ec97ead4fa9210527baf0982bba9f826f63eccaa5
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