Instructions to use hustvl/yolos-small-dwr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hustvl/yolos-small-dwr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="hustvl/yolos-small-dwr")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("hustvl/yolos-small-dwr") model = AutoModelForObjectDetection.from_pretrained("hustvl/yolos-small-dwr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hustvl/yolos-small-dwr: direct link, hf CLI and curl.
- Browser
- Download file 110 MB
-
https://huggingface.co/hustvl/yolos-small-dwr/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://hustvl/yolos-small-dwr/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hustvl/yolos-small-dwr/resolve/main/pytorch_model.bin
110 MB
- Xet hash:
- 7df93784b0651a6fe9cc2f3d7c4e26b85d00cf9291c512037452e226b6d9856a
- Size of remote file:
- 110 MB
- SHA256:
- 1d045a9fc6b81fe25ec7e572e492beb0e4b71130c63484c460840a1560d40574
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