Instructions to use whyoke/train_5ep_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use whyoke/train_5ep_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="whyoke/train_5ep_test")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("whyoke/train_5ep_test") model = AutoModelForObjectDetection.from_pretrained("whyoke/train_5ep_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e1ec57ed9f4f8d022ffc8f8bcb72c5a5e6284e47f168ab4e0eff86fd7d82d44
- Size of remote file:
- 167 MB
- SHA256:
- 3ac14b05b6f86326d5a2959155b8ead9a27aef28da9ceae7fc174d22ba126d8b
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