Instructions to use shubhamWi91/train46 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shubhamWi91/train46 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="shubhamWi91/train46")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("shubhamWi91/train46") model = AutoModelForObjectDetection.from_pretrained("shubhamWi91/train46") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 310d6261a2e408046667a1063c132bbfe48d6645b3b9984965ad5326a0407e76
- Size of remote file:
- 4.09 kB
- SHA256:
- a97551d87a7d15cde85b7455513f2948d153d881c68d3a89a4650a02835c7770
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