Instructions to use shubhamWi91/train69 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shubhamWi91/train69 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="shubhamWi91/train69")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("shubhamWi91/train69") model = AutoModelForObjectDetection.from_pretrained("shubhamWi91/train69") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0563a83ea8a72b204d97aa26177b7934a407ab392c9b78b240968bb8fef0fc73
- Size of remote file:
- 4.09 kB
- SHA256:
- 2272663b72fa4022fd51278beb0991caab635f1466b05460a94f97681352eace
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