Instructions to use dakkoong/cppe5_use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dakkoong/cppe5_use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="dakkoong/cppe5_use_data_finetuning")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("dakkoong/cppe5_use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("dakkoong/cppe5_use_data_finetuning") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3c461228a427c15432781c14614145118fa094f92c21c25bdbcf6fdd9963a60d
- Size of remote file:
- 4.54 kB
- SHA256:
- 064459511a6d302d2dff7c25dbd381e1af2064835748e0dee0c25cd390fb06e5
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