Object Detection
Transformers
PyTorch
TensorBoard
deta
Generated from Trainer
swin
traffic
automotive
ITS
computer-vision
Instructions to use mcity-data-engine/fisheye8k_jozhang97_deta-swin-large-o365 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-o365 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-o365")# Load model directly from transformers import AutoModelForObjectDetection model = AutoModelForObjectDetection.from_pretrained("mcity-data-engine/fisheye8k_jozhang97_deta-swin-large-o365", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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oid sha256:0931c62a7cbb1540f119b022461ec10e660f4f344f89f2ade9a787d1a9f5abb6
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size 878570676
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