Instructions to use gary109/STAS_yolos-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gary109/STAS_yolos-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="gary109/STAS_yolos-small")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("gary109/STAS_yolos-small") model = AutoModelForObjectDetection.from_pretrained("gary109/STAS_yolos-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from gary109/STAS_yolos-small: direct link, hf CLI and curl.
- Browser
- Download file 123 MB
-
https://huggingface.co/gary109/STAS_yolos-small/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://gary109/STAS_yolos-small/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/gary109/STAS_yolos-small/resolve/main/pytorch_model.bin
123 MB
- Xet hash:
- 0142bc2fc19a12853a0f97322ab7681db87c48e0b9f5c3a1b9a6b1398689fc13
- Size of remote file:
- 123 MB
- SHA256:
- 66ead3171628bdf213f69136e47eef19b64960c9cba294b6a1515e3a88e71a4d
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