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:
- e40dbd66f9b4dd316a8f639dbd15bcc1492832b7c617a876a18039b8ba212419
- Size of remote file:
- 3.52 kB
- SHA256:
- 58957a214ec372900588a35b5b5ce039b07ca2bd9c2722bffe2c52a63aecdc9f
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