Instructions to use shubhamWi91/train81 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shubhamWi91/train81 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="shubhamWi91/train81")# Load model directly from transformers import AutoModelForObjectDetection model = AutoModelForObjectDetection.from_pretrained("shubhamWi91/train81", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 879f05fbd99bef551c7f243055ea32c43a958aa67048715edf8877c028ce0a3d
- Size of remote file:
- 879 MB
- SHA256:
- a63a9cc5ae719c1bb7d3667e523cbaf07dc0efe0a27d002add585dc968dad05a
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