Instructions to use soohyeon02/cppe5_use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use soohyeon02/cppe5_use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="soohyeon02/cppe5_use_data_finetuning")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("soohyeon02/cppe5_use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("soohyeon02/cppe5_use_data_finetuning") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d52c206e2d70d884ba12c63ac0f8d91aa5f2213b1f4fb85343ac5bae380d012e
- Size of remote file:
- 166 MB
- SHA256:
- f236707c17333f948ef34ff48e8b26557730ea96c51fd867d2138a3df5def377
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.