Instructions to use Moonjunho/cppe5_use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Moonjunho/cppe5_use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Moonjunho/cppe5_use_data_finetuning")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("Moonjunho/cppe5_use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("Moonjunho/cppe5_use_data_finetuning") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e5cf1fad0271156af4e8720d2d9ac39aa4d6833994f4ab1c6c027a52f600152d
- Size of remote file:
- 166 MB
- SHA256:
- 9e04ddb1b11ef04627f7cb588a347c81a0e136df1fcfc5d335755a71fa5aed75
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