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:
- 4af04e0e1d6c84f863965b31f9ab296a5dd3f41a93d17be7c6fcc2d9ec3441f9
- Size of remote file:
- 167 MB
- SHA256:
- a78825eb18b15dbdddb0479a7d5d924846ddb15ba2fdb2ea1445840f07bcb150
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