Instructions to use FriendlyBohen/test-run with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FriendlyBohen/test-run with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-object-detection", model="FriendlyBohen/test-run")# Load model directly from transformers import AutoProcessor, AutoModelForZeroShotObjectDetection processor = AutoProcessor.from_pretrained("FriendlyBohen/test-run") model = AutoModelForZeroShotObjectDetection.from_pretrained("FriendlyBohen/test-run") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 12e579a370ea29441e8f95c841fa8b7b68d589da2ace9864f463be869a5ef3a2
- Size of remote file:
- 5.71 kB
- SHA256:
- 4eadc5579c70ad8b49f6ce278a57d3b13ba51c9a4c4fadb9c3f09e9c6d98bfaf
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