Instructions to use SvNext/GambleTestYOLO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SvNext/GambleTestYOLO with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="SvNext/GambleTestYOLO")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("SvNext/GambleTestYOLO") model = AutoModelForObjectDetection.from_pretrained("SvNext/GambleTestYOLO", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from SvNext/GambleTestYOLO: direct link, hf CLI and curl.
- Browser
- Download file 26 MB
-
https://huggingface.co/SvNext/GambleTestYOLO/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://SvNext/GambleTestYOLO/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/SvNext/GambleTestYOLO/resolve/main/pytorch_model.bin
26 MB
- Xet hash:
- 7491c5dee34d657fbbb4f9f134fdaa4cfb0fb802dc18092c30eb556ad53ba68d
- Size of remote file:
- 26 MB
- SHA256:
- 272487563490c0b398511de56f0808f2f77d626d5ba812e7145e065d9c68593b
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