Instructions to use hf-tiny-model-private/tiny-random-YolosForObjectDetection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-YolosForObjectDetection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="hf-tiny-model-private/tiny-random-YolosForObjectDetection")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("hf-tiny-model-private/tiny-random-YolosForObjectDetection") model = AutoModelForObjectDetection.from_pretrained("hf-tiny-model-private/tiny-random-YolosForObjectDetection") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2e5a6232c25bc55ed2640f78f68b44d23e42d636a2c13612d0ec86f12b7001d0
- Size of remote file:
- 340 kB
- SHA256:
- f34657617c63e1e694825040a83506391f2a170e210445315b2b23131ca81654
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