Instructions to use myshkin/detr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use myshkin/detr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="myshkin/detr")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("myshkin/detr") model = AutoModelForObjectDetection.from_pretrained("myshkin/detr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from myshkin/detr: direct link, hf CLI and curl.
- Browser
- Download file 4.86 kB
-
https://huggingface.co/myshkin/detr/resolve/main/training_args.bin
- Command line
-
hf download hf://myshkin/detr/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/myshkin/detr/resolve/main/training_args.bin
4.86 kB
- Xet hash:
- e3a2766d3578f295ede3ba75fcd415ef69bf603a3d901e34c3b307c0b635693e
- Size of remote file:
- 4.86 kB
- SHA256:
- d8afa9cb78b5fc02da1ad6aebe19ac44dd26434f1a1fe79964420e6cce024525
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