Instructions to use kvbiii/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kvbiii/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="kvbiii/test")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("kvbiii/test") model = AutoModelForObjectDetection.from_pretrained("kvbiii/test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2dc02d18173a8a6dbb1f0964971667b1016c2594757b165c3802c3d10e70d444
- Size of remote file:
- 174 MB
- SHA256:
- a8520bcb4dd1fb5cf57ad779a0854e89f6ba7e4cc477af418f4de97a59effac5
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