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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fa5260000f0ea0a6022ac534c94e64af5f82e40ab82225229b8acbb8ef5c690e
- Size of remote file:
- 879 MB
- SHA256:
- ed777e790de4f9419c2d90a9bb73d4a9d4e573de99b8e70964a8e86eb2c380b5
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