Object Detection
Transformers
PyTorch
TensorBoard
deformable_detr
Generated from Trainer
computer-vision
autonomous-driving
data-centric-ai
open-vocabulary
deformable-detr
Instructions to use mcity-data-engine/fisheye8k_facebook_deformable-detr-box-supervised with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mcity-data-engine/fisheye8k_facebook_deformable-detr-box-supervised with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="mcity-data-engine/fisheye8k_facebook_deformable-detr-box-supervised")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("mcity-data-engine/fisheye8k_facebook_deformable-detr-box-supervised") model = AutoModelForObjectDetection.from_pretrained("mcity-data-engine/fisheye8k_facebook_deformable-detr-box-supervised", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from mcity-data-engine/fisheye8k_facebook_deformable-detr-box-supervised: direct link, hf CLI and curl.
- Browser
- Download file 5.62 kB
-
https://huggingface.co/mcity-data-engine/fisheye8k_facebook_deformable-detr-box-supervised/resolve/main/training_args.bin
- Command line
-
hf download hf://mcity-data-engine/fisheye8k_facebook_deformable-detr-box-supervised/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/mcity-data-engine/fisheye8k_facebook_deformable-detr-box-supervised/resolve/main/training_args.bin
5.62 kB
- Xet hash:
- 4c9345f659a3ff14bf10c488a93017e4d8eeab7eaed32aaaf46b5a02c9c29a7a
- Size of remote file:
- 5.62 kB
- SHA256:
- 8d738bd91c297bcd06ab04619a256d3276c5d1669262ad5c631fb309f3152091
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