Instructions to use hustvl/yolos-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hustvl/yolos-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="hustvl/yolos-base")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("hustvl/yolos-base") model = AutoModelForObjectDetection.from_pretrained("hustvl/yolos-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hustvl/yolos-base: direct link, hf CLI and curl.
- Browser
- Download file 511 MB
-
https://huggingface.co/hustvl/yolos-base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://hustvl/yolos-base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hustvl/yolos-base/resolve/main/pytorch_model.bin
511 MB
- Xet hash:
- 57f90801bbabb3a15cd12af25c25d4ec2862b53c1532a848e3d24493229598de
- Size of remote file:
- 511 MB
- SHA256:
- eff6a49d3f355838d1ac31d0802c8364adb2adcdf44fb00803ba573d64fa3a95
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