Instructions to use shubhamWi91/train21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shubhamWi91/train21 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="shubhamWi91/train21")# Load model directly from transformers import AutoModelForObjectDetection model = AutoModelForObjectDetection.from_pretrained("shubhamWi91/train21", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2f04cdb058910ab302d01ef36f235c4673ef5dd5be191ccd1968a28105be77d1
- Size of remote file:
- 4.09 kB
- SHA256:
- c6152871d0209123a73c60a448d61e5c4aa942d663fe4795210c9c2ce1577a0e
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