Instructions to use shubhamWi91/train13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shubhamWi91/train13 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="shubhamWi91/train13")# Load model directly from transformers import AutoModelForObjectDetection model = AutoModelForObjectDetection.from_pretrained("shubhamWi91/train13", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 45324822f3203449044a763be3312cb7273287e890ca00fc077e129713353ec8
- Size of remote file:
- 4.09 kB
- SHA256:
- ff56f69fa7155045e6f3b027f175f4731b06edd1f187984d2fef18bc986e0fa4
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