Instructions to use lakxs/cppe5_use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lakxs/cppe5_use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="lakxs/cppe5_use_data_finetuning")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("lakxs/cppe5_use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("lakxs/cppe5_use_data_finetuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4a6aec00745bf2f11ba1108ca285f1be36ed2638367ea278cc307e98308ea2e3
- Size of remote file:
- 166 MB
- SHA256:
- 86519b3f3aa06c1d8e18beb18f0fdcbad4d277046ebd46ba90443c5a87a84ad5
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