Instructions to use kimteawan/cppe5_use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kimteawan/cppe5_use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="kimteawan/cppe5_use_data_finetuning")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("kimteawan/cppe5_use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("kimteawan/cppe5_use_data_finetuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eb50f1b592d0f74d2770170ac9ca59865ebe2fafe5e0f28bbe0795ade8155520
- Size of remote file:
- 167 MB
- SHA256:
- e85de5035a197248c2f6227e44a029be08c9d9286335187eaa399444eef64a82
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