Instructions to use mcity-data-engine/fisheye8k_jozhang97_deta-swin-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mcity-data-engine/fisheye8k_jozhang97_deta-swin-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="mcity-data-engine/fisheye8k_jozhang97_deta-swin-large")# Load model directly from transformers import AutoModelForObjectDetection model = AutoModelForObjectDetection.from_pretrained("mcity-data-engine/fisheye8k_jozhang97_deta-swin-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- faf1aad99f5be351befcd260c526a663314ff59e3769d4b9eb75388d8f831525
- Size of remote file:
- 879 MB
- SHA256:
- 6264ca23d930e8b0dffe0f0ad9b35912a7315c8cf5756f2a2a60149a25bd0686
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