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:
- aad93690f218590c88bbfa77715ecd006739ed9baf52de09cb6742c576a7bd9a
- Size of remote file:
- 881 MB
- SHA256:
- 09cc4c998bd57b06a5dcf4d2d8943fd15d1acf78d332bafb9beaff7a442fb061
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