Instructions to use jozhang97/deta-swin-large-o365 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jozhang97/deta-swin-large-o365 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="jozhang97/deta-swin-large-o365")# Load model directly from transformers import AutoModelForObjectDetection model = AutoModelForObjectDetection.from_pretrained("jozhang97/deta-swin-large-o365", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae1c15e9f8673536b4f506a8071f35aee4e49e84b7003b9fc6c58e802736894c
- Size of remote file:
- 881 MB
- SHA256:
- a6df41350a7a6edf0369e45bf0ac0aef5429fe9578e03e2e9f1639d362c7d79c
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