Object Detection
Transformers
PyTorch
TensorBoard
deformable_detr
Generated from Trainer
computer-vision
deformable-detr
detr
Instructions to use mcity-data-engine/fisheye8k_SenseTime_deformable-detr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mcity-data-engine/fisheye8k_SenseTime_deformable-detr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="mcity-data-engine/fisheye8k_SenseTime_deformable-detr")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("mcity-data-engine/fisheye8k_SenseTime_deformable-detr") model = AutoModelForObjectDetection.from_pretrained("mcity-data-engine/fisheye8k_SenseTime_deformable-detr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from mcity-data-engine/fisheye8k_SenseTime_deformable-detr: direct link, hf CLI and curl.
- Browser
- Download file 161 MB
-
https://huggingface.co/mcity-data-engine/fisheye8k_SenseTime_deformable-detr/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://mcity-data-engine/fisheye8k_SenseTime_deformable-detr/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/mcity-data-engine/fisheye8k_SenseTime_deformable-detr/resolve/main/pytorch_model.bin
161 MB
- Xet hash:
- e9fd4e1372dca3e4f7d4d3d2db0bdc25267ff046de524ea7570aa6a672afd5eb
- Size of remote file:
- 161 MB
- SHA256:
- dc590b90263f36bb66fc455a32b72ca5dd390610ed8e851624c726997291db3b
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