Instructions to use hustvl/yolos-small-300 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hustvl/yolos-small-300 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="hustvl/yolos-small-300")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("hustvl/yolos-small-300") model = AutoModelForObjectDetection.from_pretrained("hustvl/yolos-small-300", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hustvl/yolos-small-300: direct link, hf CLI and curl.
- Browser
- Download file 123 MB
-
https://huggingface.co/hustvl/yolos-small-300/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://hustvl/yolos-small-300/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hustvl/yolos-small-300/resolve/main/pytorch_model.bin
123 MB
- Xet hash:
- 1859f4ef10f204dfe153892ca95a4e541600603a5a84cb377c4e7eca4be3eba7
- Size of remote file:
- 123 MB
- SHA256:
- c70df228a44cfdb1c3c949c8769f2abda87798b3ae17383e05d6fc1bf5ac940a
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